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'''
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Created on Feb 7, 2012
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@author $Author$
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@version $Id$
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'''
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import os, sys
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import numpy
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import time
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path = os.path.split(os.getcwd())[0]
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sys.path.append(path)
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from Model.Spectra import Spectra
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from IO.SpectraIO import SpectraWriter
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from Graphics.SpectraPlot import Spectrum
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from JRONoise import Noise
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class SpectraProcessor:
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'''
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classdocs
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'''
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dataInObj = None
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dataOutObj = None
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noiseObj = None
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integratorObjList = []
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decoderObjList = []
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writerObjList = []
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plotterObjList = []
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integratorObjIndex = None
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decoderObjIndex = None
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writerObjIndex = None
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plotterObjIndex = None
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buffer = None
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profIndex = 0
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nFFTPoints = None
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nChannels = None
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nHeights = None
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nPairs = None
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pairList = None
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def __init__(self):
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'''
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Constructor
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'''
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self.integratorObjIndex = None
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self.decoderObjIndex = None
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self.writerObjIndex = None
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self.plotterObjIndex = None
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self.integratorObjList = []
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self.decoderObjList = []
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self.writerObjList = []
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self.plotterObjList = []
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self.noiseObj = None
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self.buffer = None
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self.profIndex = 0
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def setup(self, dataInObj=None, dataOutObj=None, nFFTPoints=None, pairList=None):
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if dataInObj == None:
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raise ValueError, ""
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if nFFTPoints == None:
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raise ValueError, ""
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self.dataInObj = dataInObj
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if dataOutObj == None:
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dataOutObj = Spectra()
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self.dataOutObj = dataOutObj
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self.noiseObj = Noise()
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##########################################
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self.nFFTPoints = nFFTPoints
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self.nChannels = self.dataInObj.nChannels
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self.nHeights = self.dataInObj.nHeights
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self.pairList = pairList
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if pairList != None:
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self.nPairs = len(pairList)
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else:
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self.nPairs = 0
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self.dataOutObj.heightList = self.dataInObj.heightList
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self.dataOutObj.channelIndexList = self.dataInObj.channelIndexList
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self.dataOutObj.m_BasicHeader = self.dataInObj.m_BasicHeader.copy()
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self.dataOutObj.m_ProcessingHeader = self.dataInObj.m_ProcessingHeader.copy()
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self.dataOutObj.radarControllerHeaderObj = self.dataInObj.radarControllerHeaderObj.copy()
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self.dataOutObj.systemHeaderObj = self.dataInObj.systemHeaderObj.copy()
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self.dataOutObj.dataType = self.dataInObj.dataType
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self.dataOutObj.nPairs = self.nPairs
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self.dataOutObj.nChannels = self.nChannels
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self.dataOutObj.nProfiles = self.nFFTPoints
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self.dataOutObj.nHeights = self.nHeights
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self.dataOutObj.nFFTPoints = self.nFFTPoints
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#self.dataOutObj.data = None
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self.dataOutObj.systemHeaderObj.numChannels = self.nChannels
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self.dataOutObj.systemHeaderObj.nProfiles = self.nFFTPoints
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self.dataOutObj.m_ProcessingHeader.totalSpectra = self.nChannels + self.nPairs
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self.dataOutObj.m_ProcessingHeader.profilesPerBlock = self.nFFTPoints
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self.dataOutObj.m_ProcessingHeader.numHeights = self.nHeights
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self.dataOutObj.m_ProcessingHeader.shif_fft = True
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spectraComb = numpy.zeros( (self.nChannels+self.nPairs)*2,numpy.dtype('u1'))
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k = 0
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for i in range( 0,self.nChannels*2,2 ):
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spectraComb[i] = k
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spectraComb[i+1] = k
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k += 1
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k *= 2
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if self.pairList != None:
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for pair in self.pairList:
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spectraComb[k] = pair[0]
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spectraComb[k+1] = pair[1]
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k += 2
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self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb
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return self.dataOutObj
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def init(self):
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self.nHeights = self.dataInObj.nHeights
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self.dataOutObj.nHeights = self.nHeights
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self.dataOutObj.heightList = self.dataInObj.heightList
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self.integratorObjIndex = 0
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self.decoderObjIndex = 0
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self.writerObjIndex = 0
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self.plotterObjIndex = 0
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if self.dataInObj.type == "Voltage":
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if self.buffer == None:
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self.buffer = numpy.zeros((self.nChannels,
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self.nFFTPoints,
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self.dataInObj.nHeights),
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dtype='complex')
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self.buffer[:,self.profIndex,:] = self.dataInObj.data
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self.profIndex += 1
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if self.profIndex == self.nFFTPoints:
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self.__getFft()
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self.dataOutObj.flagNoData = False
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self.buffer = None
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self.profIndex = 0
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return
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self.dataOutObj.flagNoData = True
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return
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#Other kind of data
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if self.dataInObj.type == "Spectra":
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self.dataOutObj.copy(self.dataInObj)
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self.dataOutObj.flagNoData = False
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return
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raise ValueError, "The datatype is not valid"
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def __getFft(self):
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"""
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Convierte valores de Voltaje a Spectra
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Affected:
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self.dataOutObj.data_spc
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self.dataOutObj.data_cspc
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self.dataOutObj.data_dc
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self.dataOutObj.heightList
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self.dataOutObj.m_BasicHeader
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self.dataOutObj.m_ProcessingHeader
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self.dataOutObj.radarControllerHeaderObj
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self.dataOutObj.systemHeaderObj
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self.profIndex
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self.buffer
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self.dataOutObj.flagNoData
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self.dataOutObj.dataType
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self.dataOutObj.nPairs
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self.dataOutObj.nChannels
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self.dataOutObj.nProfiles
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self.dataOutObj.systemHeaderObj.numChannels
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self.dataOutObj.m_ProcessingHeader.totalSpectra
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self.dataOutObj.m_ProcessingHeader.profilesPerBlock
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self.dataOutObj.m_ProcessingHeader.numHeights
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self.dataOutObj.m_ProcessingHeader.spectraComb
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self.dataOutObj.m_ProcessingHeader.shif_fft
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"""
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if self.dataInObj.flagNoData:
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return 0
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fft_volt = numpy.fft.fft(self.buffer,axis=1)
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dc = fft_volt[:,0,:]
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#calculo de self-spectra
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fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,))
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spc = fft_volt * numpy.conjugate(fft_volt)
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spc = spc.real
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blocksize = 0
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blocksize += dc.size
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blocksize += spc.size
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cspc = None
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pairIndex = 0
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if self.pairList != None:
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#calculo de cross-spectra
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cspc = numpy.zeros((self.nPairs, self.nFFTPoints, self.nHeights), dtype='complex')
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for pair in self.pairList:
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cspc[pairIndex,:,:] = numpy.abs(fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]))
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pairIndex += 1
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blocksize += cspc.size
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self.dataOutObj.data_spc = spc
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self.dataOutObj.data_cspc = cspc
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self.dataOutObj.data_dc = dc
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self.dataOutObj.m_ProcessingHeader.blockSize = blocksize
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self.dataOutObj.m_BasicHeader.utc = self.dataInObj.m_BasicHeader.utc
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# self.getNoise()
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def addWriter(self,wrpath):
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objWriter = SpectraWriter(self.dataOutObj)
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objWriter.setup(wrpath)
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self.writerObjList.append(objWriter)
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def addPlotter(self,index=None):
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if index==None:
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index = self.plotterObjIndex
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plotObj = Spectrum(self.dataOutObj, index)
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self.plotterObjList.append(plotObj)
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def addIntegrator(self,N,timeInterval):
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objIncohInt = IncoherentIntegration(N,timeInterval)
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self.integratorObjList.append(objIncohInt)
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def writeData(self, wrpath):
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if self.dataOutObj.flagNoData:
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return 0
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if len(self.writerObjList) <= self.writerObjIndex:
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self.addWriter(wrpath)
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self.writerObjList[self.writerObjIndex].putData()
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self.writerObjIndex += 1
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def plotData(self,
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xmin=None,
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xmax=None,
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ymin=None,
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ymax=None,
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zmin=None,
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zmax=None,
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titleList=None,
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xlabelList=None,
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ylabelList=None,
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winTitle='',
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colormap="br_green",
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showColorbar=False,
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showPowerProfile=False,
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XAxisAsTime=False,
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save=False,
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index=None,
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channelList=[]):
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if self.dataOutObj.flagNoData:
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return 0
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if len(self.plotterObjList) <= self.plotterObjIndex:
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self.addPlotter(index)
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self.plotterObjList[self.plotterObjIndex].plotData(xmin,
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xmax,
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ymin,
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ymax,
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zmin,
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zmax,
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titleList,
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xlabelList,
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ylabelList,
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winTitle,
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colormap,
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showColorbar,
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showPowerProfile,
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XAxisAsTime,
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save,
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channelList)
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self.plotterObjIndex += 1
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def integrator(self, N=None, timeInterval=None):
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if self.dataOutObj.flagNoData:
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return 0
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if len(self.integratorObjList) <= self.integratorObjIndex:
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self.addIntegrator(N,timeInterval)
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myIncohIntObj = self.integratorObjList[self.integratorObjIndex]
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myIncohIntObj.exe(data=self.dataOutObj.data_spc,timeOfData=self.dataOutObj.m_BasicHeader.utc)
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if myIncohIntObj.isReady:
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self.dataOutObj.data_spc = myIncohIntObj.data
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self.dataOutObj.nAvg = myIncohIntObj.navg
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self.dataOutObj.m_ProcessingHeader.incoherentInt = self.dataInObj.m_ProcessingHeader.incoherentInt*myIncohIntObj.navg
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#print "myIncohIntObj.navg: ",myIncohIntObj.navg
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self.dataOutObj.flagNoData = False
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"""Calcular el ruido"""
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self.getNoise()
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else:
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self.dataOutObj.flagNoData = True
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self.integratorObjIndex += 1
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def removeDC(self, type):
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if self.dataOutObj.flagNoData:
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return 0
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def removeInterference(self):
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if self.dataOutObj.flagNoData:
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return 0
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def removeSatellites(self):
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if self.dataOutObj.flagNoData:
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return 0
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def getNoise(self, type="hildebrand", parm=None):
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if parm == None:
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parm =self.dataOutObj.m_ProcessingHeader.incoherentInt
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self.noiseObj.setNoise(self.dataOutObj.data_spc)
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if type == "hildebrand":
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noise = self.noiseObj.byHildebrand(parm)
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if type == "window":
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noise = self.noiseObj.byWindow(parm)
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if type == "sort":
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noise = self.noiseObj.bySort(parm)
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self.dataOutObj.noise = noise
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# print 10*numpy.log10(noise)
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def selectChannels(self, channelList, pairList=[]):
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channelIndexList = []
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for channel in channelList:
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if channel in self.dataOutObj.channelList:
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index = self.dataOutObj.channelList.index(channel)
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channelIndexList.append(index)
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pairIndexList = []
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for pair in pairList:
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if pair in self.dataOutObj.pairList:
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index = self.dataOutObj.pairList.index(pair)
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pairIndexList.append(index)
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self.selectChannelsByIndex(channelIndexList, pairIndexList)
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def selectChannelsByIndex(self, channelIndexList, pairIndexList=[]):
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"""
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Selecciona un bloque de datos en base a canales y pares segun el
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channelIndexList y el pairIndexList
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Input:
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channelIndexList : lista de indices de los canales a seleccionar por ej.
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Si tenemos los canales
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self.channelList = (2,3,5,7)
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y deseamos escoger los canales (3,7)
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entonces colocaremos el parametro
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channelndexList = (1,3)
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pairIndexList : tupla de indice depares que se desea selecionar por ej.
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Si tenemos los pares :
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( (0,1), (0,2), (1,3), (2,5) )
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y deseamos seleccionar los pares ((0,2), (2,5))
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entonces colocaremos el parametro
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pairIndexList = (1,3)
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Affected:
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self.dataOutObj.data_spc
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self.dataOutObj.data_cspc
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self.dataOutObj.data_dc
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self.dataOutObj.nChannels
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self.dataOutObj.nPairs
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self.dataOutObj.m_ProcessingHeader.spectraComb
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self.dataOutObj.systemHeaderObj.numChannels
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self.dataOutObj.noise
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Return:
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None
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"""
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if self.dataOutObj.flagNoData:
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return 0
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if pairIndexList == []:
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pairIndexList = numpy.arange(len(self.dataOutObj.pairList))
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nChannels = len(channelIndexList)
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nPairs = len(pairIndexList)
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blocksize = 0
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#self spectra
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spc = self.dataOutObj.data_spc[channelIndexList,:,:]
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blocksize += spc.size
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cspc = None
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if pairIndexList != []:
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cspc = self.dataOutObj.data_cspc[pairIndexList,:,:]
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blocksize += cspc.size
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#DC channel
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dc = None
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if self.dataOutObj.m_ProcessingHeader.flag_dc:
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dc = self.dataOutObj.data_dc[channelIndexList,:]
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blocksize += dc.size
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#Almacenar las combinaciones de canales y cros espectros
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spectraComb = numpy.zeros( (nChannels+nPairs)*2,numpy.dtype('u1'))
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i = 0
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for spcChannel in channelIndexList:
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spectraComb[i] = spcChannel
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spectraComb[i+1] = spcChannel
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i += 2
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if pairList != None:
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for pair in pairList:
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spectraComb[i] = pair[0]
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spectraComb[i+1] = pair[1]
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i += 2
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|
#######
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self.dataOutObj.data_spc = spc
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self.dataOutObj.data_cspc = cspc
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self.dataOutObj.data_dc = dc
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self.dataOutObj.nChannels = nChannels
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self.dataOutObj.nPairs = nPairs
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self.dataOutObj.channelIndexList = channelIndexList
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self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb
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self.dataOutObj.m_ProcessingHeader.totalSpectra = nChannels + nPairs
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self.dataOutObj.systemHeaderObj.numChannels = nChannels
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self.dataOutObj.nChannels = nChannels
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self.dataOutObj.m_ProcessingHeader.blockSize = blocksize
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if cspc == None:
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self.dataOutObj.m_ProcessingHeader.flag_dc = False
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if dc == None:
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self.dataOutObj.m_ProcessingHeader.flag_cpsc = False
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def selectHeightsByValue(self, minHei, maxHei):
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"""
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|
Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango
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minHei <= height <= maxHei
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|
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|
Input:
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|
minHei : valor minimo de altura a considerar
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|
maxHei : valor maximo de altura a considerar
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Affected:
|
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|
Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex
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Return:
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|
None
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"""
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if self.dataOutObj.flagNoData:
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return 0
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if (minHei < self.dataOutObj.heightList[0]) or (minHei > maxHei):
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|
raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei)
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if (maxHei > self.dataOutObj.heightList[-1]):
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raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei)
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|
minIndex = 0
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|
maxIndex = 0
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|
data = self.dataOutObj.heightList
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for i,val in enumerate(data):
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if val < minHei:
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|
continue
|
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|
else:
|
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|
minIndex = i;
|
|
|
break
|
|
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|
|
|
for i,val in enumerate(data):
|
|
|
if val <= maxHei:
|
|
|
maxIndex = i;
|
|
|
else:
|
|
|
break
|
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|
|
|
self.selectHeightsByIndex(minIndex, maxIndex)
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|
|
|
def selectHeightsByIndex(self, minIndex, maxIndex):
|
|
|
"""
|
|
|
Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango
|
|
|
minIndex <= index <= maxIndex
|
|
|
|
|
|
Input:
|
|
|
minIndex : valor minimo de altura a considerar
|
|
|
maxIndex : valor maximo de altura a considerar
|
|
|
|
|
|
Affected:
|
|
|
self.dataOutObj.data_spc
|
|
|
self.dataOutObj.data_cspc
|
|
|
self.dataOutObj.data_dc
|
|
|
self.dataOutObj.heightList
|
|
|
self.dataOutObj.nHeights
|
|
|
self.dataOutObj.m_ProcessingHeader.numHeights
|
|
|
self.dataOutObj.m_ProcessingHeader.blockSize
|
|
|
self.dataOutObj.m_ProcessingHeader.firstHeight
|
|
|
self.dataOutObj.radarControllerHeaderObj.numHeights
|
|
|
|
|
|
Return:
|
|
|
None
|
|
|
"""
|
|
|
|
|
|
if self.dataOutObj.flagNoData:
|
|
|
return 0
|
|
|
|
|
|
if (minIndex < 0) or (minIndex > maxIndex):
|
|
|
raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex)
|
|
|
|
|
|
if (maxIndex >= self.dataOutObj.nHeights):
|
|
|
raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex)
|
|
|
|
|
|
nChannels = self.dataOutObj.nChannels
|
|
|
nPairs = self.dataOutObj.nPairs
|
|
|
nProfiles = self.dataOutObj.nProfiles
|
|
|
dataType = self.dataOutObj.dataType
|
|
|
nHeights = maxIndex - minIndex + 1
|
|
|
blockSize = 0
|
|
|
|
|
|
#self spectra
|
|
|
spc = self.dataOutObj.data_spc[:,:,minIndex:maxIndex+1]
|
|
|
blockSize += spc.size
|
|
|
|
|
|
#cross spectra
|
|
|
cspc = None
|
|
|
if self.dataOutObj.data_cspc != None:
|
|
|
cspc = self.dataOutObj.data_cspc[:,:,minIndex:maxIndex+1]
|
|
|
blockSize += cspc.size
|
|
|
|
|
|
#DC channel
|
|
|
dc = self.dataOutObj.data_dc[:,minIndex:maxIndex+1]
|
|
|
blockSize += dc.size
|
|
|
|
|
|
self.dataOutObj.data_spc = spc
|
|
|
if cspc != None:
|
|
|
self.dataOutObj.data_cspc = cspc
|
|
|
self.dataOutObj.data_dc = dc
|
|
|
|
|
|
firstHeight = self.dataOutObj.heightList[minIndex]
|
|
|
|
|
|
self.dataOutObj.nHeights = nHeights
|
|
|
self.dataOutObj.m_ProcessingHeader.blockSize = blockSize
|
|
|
self.dataOutObj.m_ProcessingHeader.numHeights = nHeights
|
|
|
self.dataOutObj.m_ProcessingHeader.firstHeight = firstHeight
|
|
|
self.dataOutObj.radarControllerHeaderObj.numHeights = nHeights
|
|
|
|
|
|
self.dataOutObj.heightList = self.dataOutObj.heightList[minIndex:maxIndex+1]
|
|
|
|
|
|
|
|
|
class IncoherentIntegration:
|
|
|
|
|
|
integ_counter = None
|
|
|
data = None
|
|
|
navg = None
|
|
|
buffer = None
|
|
|
nIncohInt = None
|
|
|
|
|
|
def __init__(self, N = None, timeInterval = None):
|
|
|
"""
|
|
|
N
|
|
|
timeInterval - interval time [min], integer value
|
|
|
"""
|
|
|
|
|
|
self.data = None
|
|
|
self.navg = None
|
|
|
self.buffer = None
|
|
|
self.timeOut = None
|
|
|
self.exitCondition = False
|
|
|
self.isReady = False
|
|
|
self.nIncohInt = N
|
|
|
self.integ_counter = 0
|
|
|
if timeInterval!=None:
|
|
|
self.timeIntervalInSeconds = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line
|
|
|
|
|
|
if ((timeInterval==None) and (N==None)):
|
|
|
print 'N = None ; timeInterval = None'
|
|
|
sys.exit(0)
|
|
|
elif timeInterval == None:
|
|
|
self.timeFlag = False
|
|
|
else:
|
|
|
self.timeFlag = True
|
|
|
|
|
|
|
|
|
def exe(self,data,timeOfData):
|
|
|
"""
|
|
|
data
|
|
|
|
|
|
timeOfData [seconds]
|
|
|
"""
|
|
|
|
|
|
if self.timeFlag:
|
|
|
if self.timeOut == None:
|
|
|
self.timeOut = timeOfData + self.timeIntervalInSeconds
|
|
|
|
|
|
if timeOfData < self.timeOut:
|
|
|
if self.buffer == None:
|
|
|
self.buffer = data
|
|
|
else:
|
|
|
self.buffer = self.buffer + data
|
|
|
self.integ_counter += 1
|
|
|
else:
|
|
|
self.exitCondition = True
|
|
|
|
|
|
else:
|
|
|
if self.integ_counter < self.nIncohInt:
|
|
|
if self.buffer == None:
|
|
|
self.buffer = data
|
|
|
else:
|
|
|
self.buffer = self.buffer + data
|
|
|
|
|
|
self.integ_counter += 1
|
|
|
|
|
|
if self.integ_counter == self.nIncohInt:
|
|
|
self.exitCondition = True
|
|
|
|
|
|
if self.exitCondition:
|
|
|
self.data = self.buffer
|
|
|
self.navg = self.integ_counter
|
|
|
self.isReady = True
|
|
|
self.buffer = None
|
|
|
self.timeOut = None
|
|
|
self.integ_counter = 0
|
|
|
self.exitCondition = False
|
|
|
|
|
|
if self.timeFlag:
|
|
|
self.buffer = data
|
|
|
self.timeOut = timeOfData + self.timeIntervalInSeconds
|
|
|
else:
|
|
|
self.isReady = False
|
|
|
|
