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mirror of https://github.com/gnss-sdr/gnss-sdr synced 2024-12-15 04:30:33 +00:00

Use random library instead of rand()

This commit is contained in:
Carles Fernandez 2017-08-15 02:50:11 +02:00
parent f0e6d6cbfa
commit 8a2d21cc40

View File

@ -20,8 +20,8 @@
#include <chrono>
#include <cmath>
#include <limits>
#include <list>
#include <random>
#include <boost/foreach.hpp>
#include <boost/tokenizer.hpp>
@ -35,7 +35,10 @@
#include <volk_gnsssdr/volk_gnsssdr_malloc.h>
float uniform() {
return 2.0f * ((float) rand() / RAND_MAX - 0.5f); // uniformly (-1, 1)
std::random_device r;
std::default_random_engine e1(r());
std::uniform_real_distribution<float> uniform_dist(-1, 1);
return uniform_dist(e1); // uniformly (-1, 1)
}
template <class t>
@ -47,7 +50,11 @@ void random_floats (t *buf, unsigned n)
void load_random_data(void *data, volk_gnsssdr_type_t type, unsigned int n)
{
std::random_device r;
std::default_random_engine e2(r());
if(type.is_complex) n *= 2;
if(type.is_float)
{
if(type.size == 8) random_floats<double>((double *)data, n);
@ -57,10 +64,11 @@ void load_random_data(void *data, volk_gnsssdr_type_t type, unsigned int n)
{
float int_max = float(uint64_t(2) << (type.size*8));
if(type.is_signed) int_max /= 2.0;
std::uniform_real_distribution<float> uniform_dist(-int_max, int_max);
for(unsigned int i = 0; i < n; i++)
{
float scaled_rand = (((float) (rand() - (RAND_MAX/2))) / static_cast<float>((RAND_MAX/2))) * int_max;
//man i really don't know how to do this in a more clever way, you have to cast down at some point
float scaled_rand = uniform_dist(e2);
switch(type.size)
{
case 8: