AffiliationBrigham Young University
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AbstractThis paper applies a compressed sensing (CS) algorithm to SOQPSK-TG waveform samples to reconstruct a sparse channel. The mean squared error (MSE) is computed between the estimated channel and the true channel. The estimated channel is then used in an equalized system and a bit error rate (BER) curve is calculated. The results are then compared to a Maximum Likelihood (ML) estimator. The CS estimate does not produce significant gains but it doesn’t break anything either.
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