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track-galileo-e1b.py
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track-galileo-e1b.py
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#!/usr/bin/env python
import sys
import numpy as np
import gnsstools.galileo.e1b as e1b
import gnsstools.nco as nco
import gnsstools.io as io
import gnsstools.discriminator as discriminator
class tracking_state:
def __init__(self,fs,prn,code_p,code_f,code_i,carrier_p,carrier_f,carrier_i,mode):
self.fs = fs
self.prn = prn
self.code_p = code_p
self.code_f = code_f
self.code_i = code_i
self.carrier_p = carrier_p
self.carrier_f = carrier_f
self.carrier_i = carrier_i
self.mode = mode
self.prompt1 = 0 + 0*(1j)
self.carrier_e1 = 0
self.code_e1 = 0
self.eml = 0
# tracking loops
def track(x,s):
n = len(x)
fs = s.fs
nco.mix(x,-s.carrier_f/fs, s.carrier_p)
s.carrier_p = s.carrier_p - n*s.carrier_f/fs
s.carrier_p = np.mod(s.carrier_p,1)
cf = (s.code_f+s.carrier_f/1540.0)/fs
p_early = e1b.correlate(x, s.prn, 0, s.code_p-0.2, cf, e1b.e1b_code(prn), e1b.boc11)
p_prompt = e1b.correlate(x, s.prn, 0, s.code_p, cf, e1b.e1b_code(prn), e1b.boc11)
p_late = e1b.correlate(x, s.prn, 0, s.code_p+0.2, cf, e1b.e1b_code(prn), e1b.boc11)
if s.mode=='FLL_WIDE':
fll_k = 2.0
a = p_prompt
b = s.prompt1
e = discriminator.fll_atan(a,b)
s.carrier_f = s.carrier_f + fll_k*e
s.prompt1 = p_prompt
elif s.mode=='FLL_NARROW':
fll_k = 0.6
a = p_prompt
b = s.prompt1
e = discriminator.fll_atan(a,b)
s.carrier_f = s.carrier_f + fll_k*e
s.prompt1 = p_prompt
elif s.mode=='PLL':
pll_k1 = 0.1
pll_k2 = 5.0
e = discriminator.pll_costas(p_prompt)
e1 = s.carrier_e1
s.carrier_f = s.carrier_f + pll_k1*e + pll_k2*(e-e1)
s.carrier_e1 = e
# code loop
dll_k1 = 0.00002
dll_k2 = 0.2
s.early = np.absolute(p_early)
s.prompt = np.absolute(p_prompt)
s.late = np.absolute(p_late)
if (s.late+s.early)==0:
e = 0
else:
e = (s.late-s.early)/(s.late+s.early)
s.eml = e
e1 = s.code_e1
s.code_f = s.code_f + dll_k1*e + dll_k2*(e-e1)
s.code_e1 = e
s.code_p = s.code_p + n*cf
s.code_p = np.mod(s.code_p,e1b.code_length)
return p_prompt,s
#
# main program
#
# parse command-line arguments
# example:
# ./track-galileo-e1b.py /dev/stdin 68873142.857 -8662285.714 12 -350 1274.2
filename = sys.argv[1] # input data, raw file, i/q interleaved, 8 bit signed (two's complement)
fs = float(sys.argv[2]) # sampling rate, Hz
coffset = float(sys.argv[3]) # offset to L1 carrier, Hz (positive or negative)
prn = int(sys.argv[4]) # PRN code
doppler = float(sys.argv[5]) # initial doppler estimate from acquisition
code_offset = float(sys.argv[6]) # initial code offset from acquisition
fp = open(filename,"rb")
n = int(fs*0.004*((e1b.code_length-code_offset)/e1b.code_length)) # align with 4 ms code boundary
x = io.get_samples_complex(fp,n)
code_offset += n*250.0*e1b.code_length/fs
s = tracking_state(fs=fs, prn=prn, # initialize tracking state
code_p=code_offset, code_f=e1b.chip_rate, code_i=0,
carrier_p=0, carrier_f=doppler, carrier_i=0,
mode='PLL')
block = 0
coffset_phase = 0.0
while True:
if s.code_p<e1b.code_length/2:
n = int(fs*0.004*(e1b.code_length-s.code_p)/e1b.code_length)
else:
n = int(fs*0.004*(2*e1b.code_length-s.code_p)/e1b.code_length)
x = io.get_samples_complex(fp,n)
if x is None:
break
nco.mix(x,-coffset/fs,coffset_phase)
coffset_phase = coffset_phase - n*coffset/fs
coffset_phase = np.mod(coffset_phase,1)
for j in range(4):
a,b = int(j*n/4),int((j+1)*n/4)
p_prompt,s = track(x[a:b],s)
vars = block, np.real(p_prompt), np.imag(p_prompt), s.carrier_f, s.code_f-e1b.chip_rate, (180/np.pi)*np.angle(p_prompt), s.early, s.prompt, s.late
print '%d %f %f %f %f %f %f %f %f' % vars
block = block + 1
# if (block%100)==0:
# sys.stderr.write("%d\n"%block)
# if block==500:
# s.mode = 'FLL_NARROW'
# if block==1000:
# s.mode = 'PLL'