5dbc48abc0
Current work is on MLSE and SD Decoding etc. MLSE is currently not 100% working, the scalings are maybe off?!
45 lines
1.6 KiB
Matlab
45 lines
1.6 KiB
Matlab
function [snr_all, snr_per_level] = calc_snr(tx_signal, eq_noise)
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% CALC_SNR Calculates overall SNR and level-wise SNR for a PAM-M constellation.
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%
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% [snr_all, snr_per_level] = calc_snr(tx_signal, eq_noise)
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%
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% Inputs:
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% tx_signal - Vector of transmitted signal values.
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% eq_noise - Vector of corresponding noise samples.
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%
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% Outputs:
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% snr_all - Overall SNR computed using all signal values.
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% snr_per_level - A vector where each element is the SNR computed
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% for a unique amplitude level in tx_signal.
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%
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% The function first computes the overall SNR using the full signal vectors.
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% Then it uses the unique levels in tx_signal to calculate the SNR for
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% the symbols corresponding to each level separately.
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if isa(tx_signal,'Signal')
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tx_signal = tx_signal.signal;
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end
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if isa(eq_noise,'Signal')
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eq_noise = eq_noise.signal;
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end
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% Calculate overall SNR using the complete signals
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snr_all = snr(tx_signal, eq_noise);
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% Get the unique amplitude levels in the transmitted signal
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levels = unique(tx_signal);
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% Preallocate an array to store the SNR for each unique level
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% Loop over each unique level to compute the SNR for that level
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for i = 1:length(levels)
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% Find indices where tx_signal equals the current level
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idx = (tx_signal == levels(i));
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% Compute the SNR for these indices
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snr_per_level(i) = snr(tx_signal(idx), eq_noise(idx));
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histogram(eq_noise(idx));
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end
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end
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