📄 sim_samples_raquet.m
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function [signal, noise] = sim_samples(snr, prn, sample_times, data_bits, frequency)
ca_code=generateCAcode(prn);
A=1;
sampled_ca_code=create_code_samples(ca_code, 1.023E6, sample_times);
sampled_data_bits=create_code_samples(data_bits, 50, sample_times);
sampled_ca_code = match_vector_orientation(sampled_ca_code, sample_times);
sampled_data_bits = match_vector_orientation(sampled_data_bits, sample_times);
signal = A*sampled_ca_code.*sampled_data_bits.*cos(2*pi*frequency*sample_times);
Pn = A^2/(2*snr);
noise=randn(size(signal))*sqrt(Pn);
function code_samples = create_code_samples(code_sequence, chipping_rate, time_vec)
%function code_samples = create_code_samples(code_sequence, chipping_rate, time_vec)
%
% This function calculates the sampled version of the specified
% code_sequence. If the time_vec exceeds the length of the sequence, it is
% assumed that the code_sequence repeats, and the samples are created
% accordingly
% Generate code sequence
code_index=mod(floor((time_vec)*chipping_rate),length(code_sequence))+1;
% Correct for 1023 mod 1023 which returns 0 but should be 1023
code_index(find(code_index==0))=length(code_sequence);
code_samples=code_sequence(code_index);
function vec_matched = match_vector_orientation(vec, vec_to_match)
%function vec_matched = match_vector_orientation(vec, vec_to_match)
%
% Returns vec_matched, which contains the same elements as vec, except that
% it is made to match vec_to_match in terms of whether or not it is a row
% or column vector
vec_orientation = diff(size(vec)) > 0;
vec_to_match_orientation = diff(size(vec_to_match)) > 0;
if vec_orientation == vec_to_match_orientation
vec_matched = vec;
else
vec_matched = vec';
end
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