VoltageProcessor.py
246 lines
| 7.0 KiB
| text/x-python
|
PythonLexer
|
r10 | ''' | |
Created on Feb 7, 2012 | |||
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r16 | @author $Author$ | |
@version $Id$ | |||
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r10 | ''' | |
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r72 | import os, sys | |
import numpy | |||
path = os.path.split(os.getcwd())[0] | |||
sys.path.append(path) | |||
from Model.Voltage import Voltage | |||
from IO.VoltageIO import VoltageWriter | |||
from Graphics.VoltagePlot import Osciloscope | |||
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r10 | class VoltageProcessor: | |
''' | |||
classdocs | |||
''' | |||
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r72 | def __init__(self, voltageInObj, voltageOutObj=None): | |
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r10 | ''' | |
Constructor | |||
''' | |||
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r72 | ||
self.voltageInObj = voltageInObj | |||
if voltageOutObj == None: | |||
self.voltageOutObj = Voltage() | |||
else: | |||
self.voltageOutObj = voltageOutObj | |||
self.integratorIndex = None | |||
self.decoderIndex = None | |||
self.writerIndex = None | |||
self.plotterIndex = None | |||
self.integratorList = [] | |||
self.decoderList = [] | |||
self.writerList = [] | |||
self.plotterList = [] | |||
def init(self): | |||
self.integratorIndex = 0 | |||
self.decoderIndex = 0 | |||
self.writerIndex = 0 | |||
self.plotterIndex = 0 | |||
self.voltageOutObj.copy(self.voltageInObj) | |||
def addWriter(self,wrpath): | |||
objWriter = VoltageWriter(self.voltageOutObj) | |||
objWriter.setup(wrpath) | |||
self.writerList.append(objWriter) | |||
def addPlotter(self): | |||
plotObj = Osciloscope(self.voltageOutObj,self.plotterIndex) | |||
self.plotterList.append(plotObj) | |||
def addIntegrator(self,N): | |||
objCohInt = CoherentIntegrator(N) | |||
self.integratorList.append(objCohInt) | |||
def addDecoder(self,code,ncode,nbaud): | |||
objDecoder = Decoder(code,ncode,nbaud) | |||
self.decoderList.append(objDecoder) | |||
def writeData(self,wrpath): | |||
if self.voltageOutObj.flagNoData: | |||
return 0 | |||
if len(self.writerList) <= self.writerIndex: | |||
self.addWriter(wrpath) | |||
self.writerList[self.writerIndex].putData() | |||
# myWrObj = self.writerList[self.writerIndex] | |||
# myWrObj.putData() | |||
self.writerIndex += 1 | |||
def plotData(self,idProfile, type, xmin=None, xmax=None, ymin=None, ymax=None, winTitle=''): | |||
if self.voltageOutObj.flagNoData: | |||
return 0 | |||
if len(self.plotterList) <= self.plotterIndex: | |||
self.addPlotter() | |||
self.plotterList[self.plotterIndex].plotData(type=type, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,winTitle=winTitle) | |||
self.plotterIndex += 1 | |||
def integrator(self, N): | |||
if self.voltageOutObj.flagNoData: | |||
return 0 | |||
if len(self.integratorList) <= self.integratorIndex: | |||
self.addIntegrator(N) | |||
myCohIntObj = self.integratorList[self.integratorIndex] | |||
myCohIntObj.exe(self.voltageOutObj.data) | |||
if myCohIntObj.flag: | |||
self.voltageOutObj.data = myCohIntObj.data | |||
self.voltageOutObj.m_ProcessingHeader.coherentInt *= N | |||
self.voltageOutObj.flagNoData = False | |||
else: | |||
self.voltageOutObj.flagNoData = True | |||
self.integratorIndex += 1 | |||
def decoder(self,code=None,type = 0): | |||
if self.voltageOutObj.flagNoData: | |||
return 0 | |||
if code == None: | |||
code = self.voltageOutObj.m_RadarControllerHeader.code | |||
ncode, nbaud = code.shape | |||
if len(self.decoderList) <= self.decoderIndex: | |||
self.addDecoder(code,ncode,nbaud) | |||
myDecodObj = self.decoderList[self.decoderIndex] | |||
myDecodObj.exe(data=self.voltageOutObj.data,type=type) | |||
if myDecodObj.flag: | |||
self.voltageOutObj.data = myDecodObj.data | |||
self.voltageOutObj.flagNoData = False | |||
else: | |||
self.voltageOutObj.flagNoData = True | |||
self.decoderIndex += 1 | |||
def removeDC(self): | |||
pass | |||
def removeSignalInt(self): | |||
pass | |||
def selChannel(self): | |||
pass | |||
def selRange(self): | |||
pass | |||
def selProfiles(self): | |||
pass | |||
class Decoder: | |||
def __init__(self,code, ncode, nbaud): | |||
self.buffer = None | |||
self.profCounter = 1 | |||
self.nCode = ncode | |||
self.nBaud = nbaud | |||
self.codeIndex = 0 | |||
self.code = code #this is a List | |||
self.fft_code = None | |||
self.flag = False | |||
self.setCodeFft = False | |||
def exe(self, data, ndata=None, type = 0): | |||
if ndata == None: ndata = data.shape[0] | |||
if type == 0: | |||
self.convolutionInFreq(data,ndata) | |||
if type == 1: | |||
self.convolutionInTime(data, ndata) | |||
def convolutionInFreq(self,data,ndata): | |||
newcode = numpy.zeros(ndata) | |||
newcode[0:self.nBaud] = self.code[self.codeIndex] | |||
self.codeIndex += 1 | |||
fft_data = numpy.fft.fft(data, axis=0) | |||
fft_code = numpy.conj(numpy.fft.fft(newcode)) | |||
fft_code = fft_code.reshape(len(fft_code),1) | |||
conv = fft_data.copy() | |||
conv.fill(0) | |||
conv = fft_data*fft_code # This other way to calculate multiplication between bidimensional arrays | |||
# for i in range(ndata): | |||
# conv[i,:] = fft_data[i,:]*fft_code[i] | |||
self.data = numpy.fft.ifft(conv,axis=0) | |||
self.flag = True | |||
if self.profCounter == self.nCode: | |||
self.profCounter = 0 | |||
self.codeIndex = 0 | |||
self.profCounter += 1 | |||
def convolutionInTime(self, data, ndata): | |||
nchannel = data.shape[1] | |||
newcode = self.code[self.codeIndex] | |||
self.codeIndex += 1 | |||
conv = data.copy() | |||
for i in range(nchannel): | |||
conv[:,i] = numpy.correlate(data[:,i], newcode, 'same') | |||
self.data = conv | |||
self.flag = True | |||
if self.profCounter == self.nCode: | |||
self.profCounter = 0 | |||
self.codeIndex = 0 | |||
self.profCounter += 1 | |||
class CoherentIntegrator: | |||
def __init__(self, N): | |||
self.profCounter = 1 | |||
self.data = None | |||
self.buffer = None | |||
self.flag = False | |||
self.nCohInt = N | |||
def exe(self,data): | |||
if self.buffer == None: | |||
self.buffer = data | |||
else: | |||
self.buffer = self.buffer + data | |||
if self.profCounter == self.nCohInt: | |||
self.data = self.buffer | |||
self.buffer = None | |||
self.profCounter = 0 | |||
self.flag = True | |||
else: | |||
self.flag = False | |||
self.profCounter += 1 | |||