% -------------------------------------------------------------------------
%
% Copyright (C) 2010-2018  (see AUTHORS file for a list of contributors)
%
% GNSS-SDR is a software defined Global Navigation
%           Satellite Systems receiver
%
% This file is part of GNSS-SDR.
%
% GNSS-SDR is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% at your option) any later version.
%
% GNSS-SDR is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with GNSS-SDR. If not, see <https://www.gnu.org/licenses/>.
%
% -------------------------------------------------------------------------
%
%  Antonio Ramos, 2018. antonio.ramos(at)cttc.es

clear all;
clc;

n_channel     = 0;
symbol_period = 20e-3;
filename      = 'track_ch_';

fontsize = 12;

addpath('./data') % Path to gnss-sdr dump files (Tracking and PVT)
addpath('./geoFunctions')

load([filename int2str(n_channel) '.mat']);
t = (0 : length(abs_P) - 1) * symbol_period;
hf = figure('visible', 'off');
set(hf, 'paperorientation', 'landscape');
subplot(3, 3, [1,3])
plot(t, abs_E, t, abs_P, t, abs_L)
xlabel('Time [s]','fontname','Times','fontsize', fontsize)
ylabel('Correlation result','fontname','Times','fontsize', fontsize)
legend('Early', 'Prompt', 'Late')
grid on


subplot(3, 3, 7)
plot(Prompt_I./1000, Prompt_Q./1000, 'linestyle', 'none', 'marker', '.')
xlabel('I','fontname','Times','fontsize', fontsize)
ylabel('Q','fontname','Times','fontsize', fontsize)
axis equal
grid on

subplot(3, 3, [4,6])
plot(t, Prompt_I)
xlabel('Time [s]','fontname','Times','fontsize', fontsize)
ylabel('Navigation data bits','fontname','Times','fontsize', fontsize)
grid on


fileID   = fopen('data/PVT_ls_pvt.dat', 'r');
dinfo    = dir('data/PVT_ls_pvt.dat');
filesize = dinfo.bytes;
aux = 1;
while ne(ftell(fileID), filesize)
    navsol.RX_time(aux)    = fread(fileID, 1, 'double');
    navsol.X(aux)          = fread(fileID, 1, 'double');
    navsol.Y(aux)          = fread(fileID, 1, 'double');
    navsol.Z(aux)          = fread(fileID, 1, 'double');
    navsol.user_clock(aux) = fread(fileID, 1, 'double');
    navsol.lat(aux)        = fread(fileID, 1, 'double');
    navsol.long(aux)       = fread(fileID, 1, 'double');
    navsol.height(aux)     = fread(fileID, 1, 'double');
    aux = aux + 1;
end
fclose(fileID);


mean_Latitude = mean(navsol.lat);
mean_Longitude = mean(navsol.long);
mean_h = mean(navsol.height);
utmZone = findUtmZone(mean_Latitude, mean_Longitude);
[ref_X_cart, ref_Y_cart, ref_Z_cart] = geo2cart(dms2mat(deg2dms(mean_Latitude)), dms2mat(deg2dms(mean_Longitude)), mean_h, 5);
[mean_utm_X, mean_utm_Y, mean_utm_Z] = cart2utm(ref_X_cart, ref_Y_cart, ref_Z_cart, utmZone);


numPoints = length(navsol.X);
aux = 0;
for n = 1:numPoints
    aux = aux+1;
    [E(aux), N(aux), U(aux)] = cart2utm(navsol.X(n), navsol.Y(n), navsol.Z(n), utmZone);
end

v_2d = [E;N].';   % 2D East Nort position vectors
v_3d = [E;N;U].'; % 2D East Nort position vectors


%% ACCURACY

% 2D -------------------

sigma_E_accuracy = sqrt((1/(numPoints-1)) * sum((v_2d(:,1) - mean_utm_X).^2));
sigma_N_accuracy = sqrt((1/(numPoints-1)) * sum((v_2d(:,2) - mean_utm_Y).^2));
sigma_ratio_2d_accuracy = sigma_N_accuracy / sigma_E_accuracy

% if sigma_ratio=1 -> Prob in circle with r=DRMS -> 65%
DRMS_accuracy = sqrt(sigma_E_accuracy^2 + sigma_N_accuracy^2)
% if sigma_ratio=1 -> Prob in circle with r=2DRMS -> 95%
TWO_DRMS_accuracy = 2 * DRMS_accuracy
% if sigma_ratio>0.3 -> Prob in circle with r=CEP -> 50%
CEP_accuracy = 0.62 * sigma_E_accuracy + 0.56 * sigma_N_accuracy

% 3D -------------------

sigma_U_accuracy = sqrt((1/(numPoints-1)) * sum((v_3d(:,3) - mean_utm_Z).^2));

% if sigma_ratio=1 -> Prob in circle with r=DRMS -> 50%
SEP_accuracy = 0.51 * sqrt(sigma_E_accuracy^2 + sigma_N_accuracy^2 + sigma_U_accuracy^2)
% if sigma_ratio=1 -> Prob in circle with r=DRMS -> 61%
MRSE_accuracy = sqrt(sigma_E_accuracy^2 + sigma_N_accuracy^2 + sigma_U_accuracy^2)
% if sigma_ratio=1 -> Prob in circle with r=2DRMS -> 95%
TWO_MRSE_accuracy=2 * MRSE_accuracy



%% PRECISION

% 2D Mean and Variance
mean_2d  = [mean(v_2d(:,1)) ; mean(v_2d(:,2))];
sigma_2d = [sqrt(var(v_2d(:,1))) ; sqrt(var(v_2d(:,2)))];
sigma_ratio_2d = sigma_2d(2) / sigma_2d(1)

% if sigma_ratio=1 -> Prob in circle with r=DRMS -> 65%
DRMS = sqrt(sigma_2d(1)^2 + sigma_2d(2)^2)
% if sigma_ratio=1 -> Prob in circle with r=2DRMS -> 95%
TWO_DRMS = 2 * DRMS
% if sigma_ratio>0.3 -> Prob in circle with r=CEP -> 50%
CEP = 0.62 * sigma_2d(1) + 0.56 * sigma_2d(2)

% 3D Mean and Variance
mean_3d = [mean(v_3d(:,1)) ; mean(v_3d(:,2)) ; mean(v_3d(:,3))];
sigma_3d = [sqrt(var(v_3d(:,1))) ; sqrt(var(v_3d(:,2))) ; sqrt(var(v_3d(:,3)))];

% absolute mean error
error_2D_vec = [mean_utm_X-mean_2d(1) mean_utm_Y-mean_2d(2)];
error_2D_m = norm(error_2D_vec)

error_3D_vec = [mean_utm_X-mean_3d(1) mean_utm_Y-mean_3d(2) mean_utm_Z-mean_3d(3)];
error_3D_m = norm(error_3D_vec)

RMSE_X = sqrt(mean((v_3d(:,1)-mean_utm_X).^2))
RMSE_Y = sqrt(mean((v_3d(:,2)-mean_utm_Y).^2))
RMSE_Z = sqrt(mean((v_3d(:,3)-mean_utm_Z).^2))

RMSE_2D = sqrt(mean((v_2d(:,1)-mean_utm_X).^2 + (v_2d(:,2)-mean_utm_Y).^2))
RMSE_3D = sqrt(mean((v_3d(:,1)-mean_utm_X).^2 + (v_3d(:,2)-mean_utm_Y).^2 + (v_3d(:,3)-mean_utm_Z).^2))

% if sigma_ratio=1 -> Prob in circle with r=DRMS -> 50%
SEP = 0.51 * sqrt(sigma_3d(1)^2 + sigma_3d(2)^2 + sigma_3d(3)^2)
% if sigma_ratio=1 -> Prob in circle with r=DRMS -> 61%
MRSE = sqrt(sigma_3d(1)^2 + sigma_3d(2)^2 + sigma_3d(3)^2)
% if sigma_ratio=1 -> Prob in circle with r=2DRMS -> 95%
TWO_MRSE = 2 * MRSE


%% SCATTER PLOT 2D
subplot(3,3,8)
scatter(v_2d(:,1)-mean_2d(1), v_2d(:,2)-mean_2d(2));
hold on;

plot(0, 0, 'k*');

[x,y,z] = cylinder([TWO_DRMS TWO_DRMS], 200);
plot(x(1,:), y(1,:), 'Color', [0 0.6 0]);
str = strcat('2DRMS=', num2str(TWO_DRMS), ' m');
text(cosd(65)*TWO_DRMS, sind(65)*TWO_DRMS, str, 'Color', [0 0.6 0]);

[x,y,z] = cylinder([CEP CEP], 200);
plot(x(1,:), y(1,:), 'r--');
str = strcat('CEP=', num2str(CEP), ' m');
text(cosd(80)*CEP, sind(80)*CEP, str, 'Color','r');

grid on
axis equal;
xlabel('North [m]','fontname','Times','fontsize', fontsize)
ylabel('East [m]','fontname','Times','fontsize', fontsize)



%% SCATTER PLOT 3D
subplot(3,3,9)
scatter3(v_3d(:,1)-mean_3d(1), v_3d(:,2)-mean_3d(2), v_3d(:,3)-mean_3d(3));

hold on;

[x,y,z] = sphere();
hSurface = surf(MRSE*x, MRSE*y, MRSE*z);  % sphere centered at origin
set(hSurface, 'facecolor', 'none', 'edgecolor', [0 0.6 0], 'edgealpha', 1, 'facealpha', 1);

xlabel('North [m]', 'fontname', 'Times', 'fontsize', fontsize-2)
ylabel('East [m]', 'fontname', 'Times', 'fontsize', fontsize-2)
zlabel('Up [m]', 'fontname', 'Times', 'fontsize', fontsize-2)
str = strcat('MRSE=', num2str(MRSE), ' m')
text(cosd(45)*MRSE, sind(45)*MRSE, 20, str, 'Color', [0 0.6 0]);
a = gca;
set(a, 'fontsize', fontsize-6)

hh = findall(hf, '-property', 'FontName');
set(hh, 'FontName', 'Times');
print(hf, 'Figure2.eps', '-depsc')
close(hf);
