📄 easy3.m
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% EASY3 Read RINEX navigation file reformat into Matlab Eph matrix.
% Open a RINEX observation file analyse the header and identify
% observation types. The function fepoch_0 finds epoch time
% and observed PRNs in an OK epoch (digit 0, RTK observations
% will have a 2 in this place). Next we read the observations
% and use recpo_ls to get a least-squares estimate for the
% (stand alone) receiver position.
%Kai Borre 31-10-2001
%Copyright (c) by Kai Borre
%$Revision: 1.0 $ $Date: 2001/10/31 $
% Read RINEX ephemerides file and convert to
% internal Matlab format
rinexe('SITE247J.01N','eph.dat');
Eph = get_eph('eph.dat');
% We identify the observation file and open it
ofile1 = 'SITE247J.01O';
fid1 = fopen(ofile1,'rt');
[Obs_types1, ant_delta1, ifound_types1, eof11] = anheader(ofile1);
NoObs_types1 = size(Obs_types1,2)/2;
Pos = [];
% There are 20 epochs of data in ofile1
for q = 1:20
[time1, dt1, sats1, eof1] = fepoch_0(fid1);
NoSv1 = size(sats1,1);
% We pick the observed P2 pseudoranges
obs1 = grabdata(fid1, NoSv1, NoObs_types1);
i = fobs_typ(Obs_types1,'P2');
pos = recpo_ls(obs1(:,i),sats1,time1,Eph);
Pos = [Pos pos];
end
me = mean(Pos,2);
fprintf('\nMean Position as Computed From 20 Epochs:')
fprintf('\n\nX: %12.3f Y: %12.3f Z: %12.3f', me(1,1), me(2,1), me(3,1))
plot((Pos(1:3,:)-Pos(1:3,1)*ones(1,q))','linewidth',2)
title('Positions Over Time','fontsize',16)
legend('X','Y','Z')
xlabel('Epochs [1 s interval]','fontsize',16)
ylabel('Variation in Coordinates, Relative to the First Epoch [m]','fontsize',16)
set(gca,'fontsize',16)
legend
print -deps easy3
%%%%%%%%%%%%%%%%%%%%% end easy3.m %%%%%%%%%%%%%%%
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