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 = b1cp.correlate(x, s.prn, 0, s.code_p - 0.2, cf,
b1cp.b1cp_code(prn), b1cp.boc11)
p_prompt = b1cp.correlate(x, s.prn, 0, s.code_p, cf, b1cp.b1cp_code(prn),
b1cp.boc11)
p_late = b1cp.correlate(x, s.prn, 0, s.code_p + 0.2, cf,
b1cp.b1cp_code(prn), b1cp.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, b1cp.code_length)
return p_prompt, s
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 / 2400.0) / fs
p_early = l2cl.correlate(x, s.prn, 0, s.code_p - 0.5, cf,
l2cl.l2cl_code(prn))
p_prompt = l2cl.correlate(x, s.prn, 0, s.code_p, cf, l2cl.l2cl_code(prn))
p_late = l2cl.correlate(x, s.prn, 0, s.code_p + 0.5, cf,
l2cl.l2cl_code(prn))
if s.mode == 'FLL_WIDE':
fll_k = 3.0
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 = 0.8
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 = 3.5
e = discriminator.pll_costas(
p_prompt) # fixme: change to pure PLL, since L2CL is a pilot
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, l2cl.code_length)
return p_prompt, s
def track(x, s, chan):
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)
rf_carrier = 1602.0 + 0.5625 * chan
scale_factor = rf_carrier / 5.11
cf = (s.code_f + s.carrier_f / scale_factor) / fs
p_early = p.correlate(x, 0, s.code_p - 0.5, cf, p.p_code())
p_prompt = p.correlate(x, 0, s.code_p, cf, p.p_code())
p_late = p.correlate(x, 0, s.code_p + 0.5, cf, p.p_code())
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 = 0.5
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
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, p.code_length)
return p_prompt, s
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/3135.0)/fs
p_early = ca.correlate(x, 0, s.code_p-0.5, cf, ca.ca_code())
p_prompt = ca.correlate(x, 0, s.code_p, cf, ca.ca_code())
p_late = ca.correlate(x, 0, s.code_p+0.5, cf, ca.ca_code())
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 = 0.5
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
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,ca.code_length)
return p_prompt,s
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/2400.0)/fs
p_early = l2cl.correlate(x, s.prn, 0, s.code_p-0.5, cf, l2cl.l2cl_code(prn))
p_prompt = l2cl.correlate(x, s.prn, 0, s.code_p, cf, l2cl.l2cl_code(prn))
p_late = l2cl.correlate(x, s.prn, 0, s.code_p+0.5, cf, l2cl.l2cl_code(prn))
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 = 0.3
a = p_prompt
b = s.prompt1
e = discriminator.fll_atan2(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) # fixme: change to pure PLL, since L2CL is a pilot
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,l2cl.code_length)
return p_prompt,s
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 = l1cp.correlate(x, s.prn, 0, s.code_p - 0.2, cf,
l1cp.l1cp_code(prn), l1cp.boc11)
p_prompt = l1cp.correlate(x, s.prn, 0, s.code_p, cf, l1cp.l1cp_code(prn),
l1cp.boc11)
p_late = l1cp.correlate(x, s.prn, 0, s.code_p + 0.2, cf,
l1cp.l1cp_code(prn), l1cp.boc11)
# if s.ms>4000:
# for dci in range(320):
# dc = 0.0125*(dci-160)
# pp = l1cp.correlate(x, s.prn, 0, s.code_p+dc, cf, l1cp.l1cp_code(prn), l1cp.boc11)
# if np.real(p_prompt)>0:
# s.shape[dci] += pp
# else:
# s.shape[dci] -= pp
# s.ms = s.ms + 1
if s.mode == 'FLL_WIDE':
fll_k = 3.0
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 = 0.8
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 = 3.5
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, l1cp.code_length)
return p_prompt, s
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 / 118.0) / fs
p_early = b2bq.correlate(x, s.prn, 0, s.code_p - 0.5, cf,
b2bq.b2bq_code(prn))
p_prompt = b2bq.correlate(x, s.prn, 0, s.code_p, cf, b2bq.b2bq_code(prn))
p_late = b2bq.correlate(x, s.prn, 0, s.code_p + 0.5, cf,
b2bq.b2bq_code(prn))
if s.nframe > 200:
if np.real(p_prompt) > 0:
nco.accum(x, s.code_p, cf, s.chips, b2bq.code_length)
else:
nco.accum(-x, s.code_p, cf, s.chips, b2bq.code_length)
s.nframe += 1
if s.mode == 'FLL_WIDE':
fll_k = 3.0
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 = 0.8
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 = 3.5
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, b2bq.code_length)
return p_prompt, s
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
t = np.mod(s.carrier_p, 1)
dcyc = int(round(s.carrier_p - t))
s.carrier_cyc += dcyc
s.carrier_p = t
cf = (s.code_f + s.carrier_f / 1540.0) / fs
p_early = ca.correlate(x, s.prn, 0, s.code_p - 0.05, cf, ca.ca_code(prn))
p_prompt = ca.correlate(x, s.prn, 0, s.code_p, cf, ca.ca_code(prn))
p_late = ca.correlate(x, s.prn, 0, s.code_p + 0.05, cf, ca.ca_code(prn))
if s.mode == 'FLL_WIDE':
fll_k = 3.0
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 = 0.8
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 = 3.5
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
t = np.mod(s.code_p, ca.code_length)
dcyc = int(round(s.code_p - t))
s.code_cyc += dcyc
s.code_p = t
return p_prompt, s
