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/*
* File getmode.c
*
* Author M.Bos - PA0MBO
* Date Feb 21st 2009
*
* routine to determine robustness mode
* of baseband drm signal (complex)
* in "in" real and imag components
* stored alternatively in sequence
*
* returns number of the mode A=0, B=1, etc...
* input param. n is number of samples in rsbuf
*
*/
/*************************************************************************
*
* PA0MBO
*
* COPYRIGHT (C) 2009 M.Bos
*
* This file is part of the distribution package RXAMADRM
*
* This package is free software and you can redistribute is
* and/or modify it under the terms of the GNU General Public License
*
* More details can be found in the accompanying file COPYING
*************************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <sys/types.h>
#include <malloc.h>
#include "structtemplates.h"
#include "drmproto.h"
#include "drmdefs.h"
#include "appglobal.h"
#include "supportfunctions.h"
static /*@only@ */ float *in_, *abs_in_, *abs_in_in_;
static /*@only@ */ float *conv_in_, *conv_abs_in_in_;
static bool initDone=false;
void initGetmode(int n)
{
if(initDone) return;
initDone=true;
/* create and initialize arrays */
in_ =(float *) malloc((n - Tu_D) * 2 * sizeof(float)); /* complex data */
if (in_ == NULL)
{
printf("mem alloc problem in getmode \n");
exit(EXIT_FAILURE);
}
conv_in_ = (float *)malloc((n - Tu_D) * 2 * sizeof(float)); /* complex */
if (conv_in_ == NULL)
{
printf("mem alloc problem in getmode \n");
exit(EXIT_FAILURE);
}
abs_in_ = (float *)malloc(n * sizeof(float));
if (abs_in_ == NULL)
{
printf("mem alloc problem in getmode \n");
exit(EXIT_FAILURE);
}
abs_in_in_ = (float *)malloc((n - Tu_D) * sizeof(float));
if (abs_in_in_ == NULL)
{
printf("mem alloc problem in getmode \n");
exit(EXIT_FAILURE);
}
conv_abs_in_in_ = (float *)malloc((n - Tu_D) * sizeof(float));
if (conv_abs_in_in_ == NULL)
{
printf("mem alloc problem in getmode \n");
exit(EXIT_FAILURE);
}
return;
} /* end initializations */
void getmode(float *input, int n, smode_info * result)
{
float EPSILON = 1.0E-10;
float SNR_mode_det = (float) (exp(15.0 * log(10) / 10.0));
float rho;
int Ts_list[4] = { Ts_A, Ts_B, Ts_C, Ts_D };
int Tu_list[4] = { Tu_A, Tu_B, Tu_C, Tu_D };
float max_abs_gamma_rel_list[] = { 0.0, 0.0, 0.0, 0.0 };
int theta_list[] = { 0, 0, 0, 0 };
float epsilon_ML_list[] = { 0.0, 0.0, 0.0, 0.0 };
int N_symbols_mode_det, Ts, Tu, Tg, t_smp;
int mode, i, j, theta, maxOK;
float max_abs_gamma_rel, tmpmax, epsilon_ML;
// float frequency_offset_fract;
int b[20], time_offset_mean;
float sumx, sumy, sumxx, sumxy, slope, boffs;
// float a[20];
float gamma[2 * Ts_A], Phi[Ts_A];
float my_rect[Ts_D - Tu_D];
rho = SNR_mode_det / (SNR_mode_det + 1);
N_symbols_mode_det = ((n + 1) / Ts_A) - 1;
for (mode = 0; mode < 3; mode++) // ON4QZ 3 was 4
{
Ts = Ts_list[mode];
Tu = Tu_list[mode];
Tg = Ts - Tu;
t_smp = 0;
/* initialize arrays with zero's */
for (i = 0; i < Ts; i++)
{
gamma[i * 2] = 0.0;
gamma[i * 2 + 1] = 0.0;
Phi[i] = 0.0;
}
for (i = 0; i < n - Tu; i++) /* complex mult */
{
in_[2 * i] = input[2 * i] * input[(i + Tu) * 2] + input[2 * i + 1] * input[(i + Tu) * 2 +1];
in_[2 * i + 1] = -input[2 * i] * input[(i + Tu) * 2 + 1] + input[2 * i + 1] * input[(i + Tu) * 2];
}
// arrayDump("gM1",input,16,true);
my_rect[0] = 0.5; // ON4QZ
for (i = 1; i < Tg; i++)
{
my_rect[i] = 1.0;
}
// my_rect[Tg-1] = 0.5; // ON4QZ
drmfilter1c(in_, conv_in_, my_rect, n - Tu, Tg);
for (i = 0; i < n; i++)
{
abs_in_[i] = input[i * 2] * input[i * 2] + input[i * 2 + 1] * input[i * 2 + 1];
}
for (i = 0; i < n - Tu; i++)
{
abs_in_in_[i] = abs_in_[i] + abs_in_[i + Tu];
}
drmfilter1(abs_in_in_, conv_abs_in_in_, my_rect, n - Tu, Tg);
for (j = 0; j < N_symbols_mode_det; j++)
{
for (i = 0; i < Ts; i++)
{
gamma[i * 2] = gamma[i * 2] + conv_in_[(t_smp + Tg + i - 1) * 2]; /* pa0mbo -1 ios nieuw */
gamma[i * 2 + 1] = gamma[i * 2 + 1] + conv_in_[(t_smp + Tg + i - 1) * 2 + 1];
Phi[i] = Phi[i] + (float) (0.5 * (EPSILON + conv_abs_in_in_[t_smp + Tg + i - 1]));
}
t_smp += Ts;
}
/* detmn max and index in abs(gamma .. rho*Phi) */
theta = 0;
max_abs_gamma_rel = -1.0E20;
/* debugging
printf("==== mode %d === gamma\n",mode); */
for (i = 0; i < Ts; i++)
{
tmpmax = (float) sqrt(gamma[2 * i] * gamma[2 * i] + gamma[2 * i + 1] * gamma[2 * i + 1]);
/* printf("%g\n", tmpmax); */
tmpmax -= rho * Phi[i];
if (tmpmax > max_abs_gamma_rel)
{
max_abs_gamma_rel = tmpmax;
theta = i;
}
}
// arrayDump("gM2",gamma,Ts*2,true);
/* printf("===============\n"); */
max_abs_gamma_rel = (float) sqrt(gamma[theta * 2] * gamma[theta * 2] + gamma[theta * 2 + 1] * gamma[theta * 2 + 1]) / (rho * Phi[theta]);
epsilon_ML = (float) atan2(gamma[2 * theta], gamma[2 * theta + 1]);
max_abs_gamma_rel_list[mode] = max_abs_gamma_rel;
theta_list[mode] = theta;
epsilon_ML_list[mode] = epsilon_ML;
}
/* debugging
printf("max gamma list %g %g %g %g \n", max_abs_gamma_rel_list[0],
max_abs_gamma_rel_list[1], max_abs_gamma_rel_list[2],
max_abs_gamma_rel_list[3]);
printf("theta list %d %d %d %d \n", theta_list[0], theta_list[1],
theta_list[2], theta_list[3]);
printf("epsilon ML list %g %g %g %g \n", epsilon_ML_list[0], epsilon_ML_list[1], epsilon_ML_list[2], epsilon_ML_list[3]); end debug info */
/* now decide for particular mode */
max_abs_gamma_rel = -1.0E20;
for (i = 0; i < 4; i++)
{
if (max_abs_gamma_rel_list[i] > max_abs_gamma_rel)
{
max_abs_gamma_rel = max_abs_gamma_rel_list[i];
mode = i;
}
}
// <<max_abs_gamma_rel_list[1] << max_abs_gamma_rel_list[2] << max_abs_gamma_rel_list[3];
/* check if result is reliable */
maxOK = 1; /* start with reliable */
if (max_abs_gamma_rel > 0.6) // was 0.6
{
for (i = 0; i < 3; i++) //ON4QZ 3 was 4
{
if ((i != mode) && (max_abs_gamma_rel_list[i] > 0.6))
{
maxOK = 0;
}
}
}
else
{
maxOK = 0;
}
if (maxOK == 0)
{
result->mode_indx = 99;
result->time_offset = 0.0;
result->sample_rate_offset = 0.0;
result->freq_offset_fract = 0.0;
return;
}
else
{
addToLog("max mode ok",LOGDRMDEMOD);
Ts = Ts_list[mode];
Tu = Tu_list[mode];
Tg = Ts - Tu;
time_offset_mean = theta_list[mode]; /* pa0mbo checked +1 removed on Dec 22nd 2006 */
// frequency_offset_fract = epsilon_ML_list[mode];
/* now recalculate several vars with the established mode */
for (i = 0; i < n - Tu; i++)
{
in_[2 * i] = input[2 * i] * input[(i + Tu) * 2] + input[2 * i + 1] * input[(i + Tu) * 2 + 1];
in_[2 * i + 1] = -input[2 * i] * input[(i + Tu) * 2 + 1] + input[2 * i + 1] * input[(i + Tu) * 2];
}
my_rect[0] = 0.5;
for (i = 1; i < Tg; i++)
{
my_rect[i] = 1.0;
}
my_rect[Tg - 1] = 0.5;
drmfilter1c(in_, conv_in_, my_rect, n - Tu, Tg);
for (i = 0; i < n; i++)
{
abs_in_[i] = input[i * 2] * input[i * 2] + input[i * 2 + 1] * input[i * 2 + 1];
}
for (i = 0; i < n - Tu; i++)
{
abs_in_in_[i] = abs_in_[i] + abs_in_[i + Tu];
}
drmfilter1(abs_in_in_, conv_abs_in_in_, my_rect, n - Tu, Tg);
t_smp = Tg + time_offset_mean + Ts / 2;
for (j = 0; j < (N_symbols_mode_det - 2); j++)
{
max_abs_gamma_rel = -1.0E20;
for (i = 0; i < Ts; i++)
{
gamma[i * 2] = conv_in_[(t_smp + i) * 2];
gamma[i * 2 + 1] = conv_in_[(t_smp + i) * 2 + 1];
Phi[i] = (float) (0.5 * (EPSILON + conv_abs_in_in_[t_smp + i]));
/* detmn max and its indx */
tmpmax =
(float) sqrt(gamma[2 * i] * gamma[2 * i] +
gamma[2 * i + 1] * gamma[2 * i + 1]) -
rho * Phi[i];
if (tmpmax > max_abs_gamma_rel)
{
max_abs_gamma_rel = tmpmax;
// a[j] = tmpmax;
b[j] = i;
}
}
t_smp += Ts;
}
/* Now least squares to 0...N_symbols_mode_det-3 and b[0] .. */
sumx = 0.0;
sumy = 0.0;
sumxx = 0.0;
sumxy = 0.0;
for (i = 0; i < N_symbols_mode_det - 2; i++)
{
sumx += (float) i;
sumy += (float) b[i];
sumxx += (float) i *(float) i;
sumxy += (float) i *(float) b[i];
}
slope = (float) (((N_symbols_mode_det - 2) * sumxy - sumx * sumy) / ((N_symbols_mode_det - 2) * sumxx - sumx * sumx));
boffs = (float) ((sumy * sumxx - sumx * sumxy) / ((N_symbols_mode_det - 2) * sumxx - sumx * sumx));
}
/* printf("in getmode N_symbols_mode_det %d \n", N_symbols_mode_det);
printf("mode is %d toffs %g samplroffs %g f_offs_fract %g\n", mode, fmod((boffs + Ts / 2 + time_offset_mean - 1), (float) Ts), slope / ((float) Ts), epsilon_ML_list[mode]); */
/* pa0mbo todo reliability check */
result->mode_indx = mode;
result->time_offset = fmodf((boffs + Ts / 2 + time_offset_mean - 1), (float) Ts); /* fp rest pa0mbo was -2 */
result->sample_rate_offset = slope / ((float) Ts);
result->freq_offset_fract = epsilon_ML_list[mode];
//logfile->addToAux(QString("%1 %2 %3 %4").arg( mode).arg(result->time_offset).arg(result->sample_rate_offset).arg(result->freq_offset_fract));
}
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