def performAnalysisSingleSetting():
PLLBW = 32
FLLBW = 0
CNO = 45
t,SignalIn,stateHistory = GenSignal.constantSnap(1,CNO,200)
Z,DcoFreqArray,LockStateValues,PhaseError = \
runReceiver(t,SignalIn,PLLBW,FLLBW)
LockStateValues = np.where(LockStateValues == 3, 1, 0)
breakingPoint = 200*(np.mean(LockStateValues)) #m/s^2
plt.title('Doppler frequency')
t = 0.004*np.arange(0,DcoFreqArray.size)
plt.plot(t,DcoFreqArray,color='k')
plt.xlabel('Time (s)')
plt.ylabel('Doppler frequency (Hz)')
plt.savefig('DcoFreqArray.eps', format='eps', dpi=1000)
plt.close()
plt.title('PLL lock state')
t = 0.004*np.arange(0,LockStateValues.size)
print(breakingPoint)
plt.plot(t,LockStateValues,color='k')
plt.fill_between(t,LockStateValues,color='r',alpha=0.5)
plt.xlabel('Time (s)')
plt.ylabel('Phase lock')
plt.ylim(0,1.5)
plt.savefig('LockState.eps', format='eps', dpi=1000)
plt.close()
t = 0.004*np.arange(0,PhaseError.size)
plt.title('Phase Error')
plt.xlabel('Time (s)')
plt.ylabel('Phase error (degrees)')
plt.plot(t,360*PhaseError,color='k',alpha=0.5)
plt.savefig('PhaseError.eps', format='eps', dpi=1000)
plt.close()
plt.title('Phase error standard deviation')
stdList =[]
for i in range(0,PhaseError.size):
stdList.append((360*PhaseError[i:i+100]).std())
t = 0.004*np.arange(0,len(stdList))
plt.plot(t,stdList,color='k',alpha=0.5)
plt.grid()
plt.ylabel('Window standard deviation (degrees)')
plt.xlabel('Time (s)')
plt.savefig('PhaseErrorSTD.eps', format='eps', dpi=1000)
plt.close()
def monteCarloAnalysis():
PLLBW = 32
FLLBW = 10
CNO = 45
breakingPoints1 = np.zeros((100))
averagePhaseJitter1 = np.zeros((100))
for i in range(0,100):
t,SignalIn,stateHistory = GenSignal.constantSnap(1,CNO,200)
Z,DcoFreqArray,LockStateValues,PhaseError = \
runReceiver(t,SignalIn,PLLBW,FLLBW)
LockStateValues = np.where(LockStateValues == 3, 1, 0)
breakingPoint = 200*(np.mean(LockStateValues)) #m/s^2
breakingPoints1[i] = breakingPoint
stdArray = np.zeros((250*70))
for j in range(0,250*70):
stdArray[j] = (360*PhaseError[j:j+100]).std()
averagePhaseJitter1[i] = stdArray.mean()
print(i,stdArray.mean())
print('A')
print(np.mean(averagePhaseJitter1),np.std(averagePhaseJitter1))
PLLBW = 32
FLLBW = 0
CNO = 45
breakingPoints2 = np.zeros((100))
averagePhaseJitter2 = np.zeros((100))
for i in range(0,100):
t,SignalIn,stateHistory = GenSignal.constantSnap(1,CNO,200)
Z,DcoFreqArray,LockStateValues,PhaseError = \
runReceiver(t,SignalIn,PLLBW,FLLBW)
LockStateValues = np.where(LockStateValues == 3, 1, 0)
breakingPoint = 200*(np.mean(LockStateValues)) #m/s^2
breakingPoints2[i] = breakingPoint
stdArray = np.zeros((250*70))
for j in range(0,250*70):
stdArray[j] = (360*PhaseError[j:j+100]).std()
averagePhaseJitter2[i] = stdArray.mean()
print(i,stdArray.mean())
print('B')
print(np.mean(averagePhaseJitter2),np.std(averagePhaseJitter2))
## Create data
np.random.seed(10)
## combine these different collections into a list
data_to_plot = [averagePhaseJitter1, averagePhaseJitter2]
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
# Create the boxplot
bp = plt.boxplot(data_to_plot)
plt.setp(bp['boxes'], color='k')
plt.setp(bp['whiskers'], color='k')
plt.setp(bp['fliers'], color='k', marker='+')
plt.setp(bp['medians'], color='k')
plt.title('Average phase jitter jitter')
plt.ylabel('Average phase jitter $(m/s^3)$')
plt.savefig('BoxplotPhaseJitter.eps', format='eps', dpi=1000)
