📄 kalclock.m
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function offset = kalclock(ofile, navfile, extended_filter)
% KALCLOCK Estimates receiver clock offset and position as
% read from the RINEX o-file. A RINEX navigation
% nav-file is also needed.
% Extended filter is used, if extended_filter = 1
%Typical call: kalclock('pta.96o', 'pta.96n', 1)
%Kai Borre 03-29-97
%Copyright (c) by Kai Borre
%$Revision: 1.0 $ $Date: 1997/09/22 $
%rinexe(enavfile,navfile)
v_light = 299792458; % vacuum speed of light m/s
pseudorange_variance = 1;
tic
fid = fopen(ofile,'rt');
[Obs_types, ant_delta, ifound_types, eof1] = anheader(ofile);
if ((ifound_types == 0) | (eof1 == 1))
error('Basic information is missing in RINEX file')
end;
NoObs_types = size(Obs_types,2)/2;
% Downloading of ephemeris data
Eph = get_eph(navfile);
max_epochs = 80; % we use 80 epochs of data
j = fobs_typ(Obs_types,'P2');
fid = fopen(ofile,'rt');
[tr_RAW, dt, sv, eof2] = fepoch_0(fid);
NoSv = size(sv,1);
obs = grabdata(fid, NoSv, NoObs_types);
pr = obs(:,j);
% CALL OF BAYES FILTER FOR FIRST POSITION
pos = b_point(pr,sv,tr_RAW,navfile);
fprintf(['\nPreliminary position:\n X = %10.2f Y = %10.2f', ...
' Z = %10.2f T = %10.2f\n\n'], pos(1),pos(2),pos(3),pos(4))
max_iter = 3;
if extended_filter == 1
max_iter = 1;
end
for iteration = 1:max_iter
P = zeros(4,4);
Big =10^10;
P(1,1) = Big;
P(2,2) = Big;
P(3,3) = Big;
q = 1.e-6;
x = zeros(4,1);
x(4,1) = pos(4);
% rec_clk_offset = [];
rec_clk_offset = zeros(1,max_epochs);
fid = fopen(ofile,'rt');
for iepoch = 1:max_epochs % loop over epochs
P(4,4) = P(4,4) + q;
[tr_RAW, dt, sv, eof2] = fepoch_0(fid);
if (eof2 == 1)
break;
end
NoSv = size(sv,1);
for t = 1:NoSv
col_Eph(t) = find_eph(Eph,sv(t),tr_RAW);
end
obs = grabdata(fid, NoSv, NoObs_types);
pr = obs(:,j);
% Formation of Observation Equations
for jsat = 1:NoSv
k = col_Eph(jsat);
tx_RAW = tr_RAW - pr(jsat)/v_light;
Toc = Eph(21,k);
dt = check_t(tx_RAW - Toc);
a0 = Eph(19,k);
a1 = Eph(20,k);
a2 = Eph(2,k);
sat_clk_corr = a0 + (a1 + a2*dt)*dt;
tx_GPS = tx_RAW - sat_clk_corr;
X = satpos(tx_GPS, Eph(:,k));
traveltime = 70.e-3; % First guess: 70 ms
for iter = 1:2
Rot_X = e_r_corr(traveltime, X);
rho = norm(Rot_X - pos(1:3,1));
traveltime = rho/v_light;
end; % iter-loop
[phi,lambda,h] = togeod(6378137, 298.257223563, ...
pos(1,1), pos(2,1), pos(3,1));
[az,el,dist] = topocent(Rot_X, Rot_X-pos(1:3,1));
corrected_pseudorange = pr(jsat) - ...
tropo(sin(el),h/1000,1013.0,293.0,50.0,0.0,0.0,0.0);
dx = Rot_X(1) - pos(1,1);
dy = Rot_X(2) - pos(2,1);
dz = Rot_X(3) - pos(3,1);
distance = norm([dx dy dz]); % sqrt(dx^2+dy^2+dz^2);
calculated_pseudorange = distance - v_light*sat_clk_corr;
Y = corrected_pseudorange - calculated_pseudorange;
H(1,1) = -dx/distance;
H(2,1) = -dy/distance;
H(3,1) = -dz/distance;
H(4,1) = v_light;
[x,P] = k_update(x,P,H',Y,pseudorange_variance);
end; % jsat-loop
if extended_filter == 1
pos(1:3,1) = pos(1:3,1)+x(1:3,1);
x(1:3,1)= [0; 0; 0];
end
%rec_clk_offset = [rec_clk_offset x(4,1)];
rec_clk_offset(1,iepoch) = x(4,1);
end % iepoch-loop
fprintf('\n Solution: %6.2f %6.2f %6.2f %6.2f\n',...
x(1), x(2), x(3), x(4)*1.e9)
pos(1:3,1) = pos(1:3,1)+x(1:3,1)
end % iteration
offset = rec_clk_offset*1.e9;
toc
plot(rec_clk_offset*1.e+9) % in nanoseconds
title('Receiver clock offset as determined by Kalman filter', ...
'Fontsize', 16)
xlabel('Epochs, interval 15 s', 'Fontsize', 16)
ylabel('Clock offset [ns]', 'Fontsize', 16)
set(gca, 'Fontsize', 16)
print kalclock -deps
fclose('all');
%%%%%%%%% end kalclock.m %%%%%%%%%
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