SPARSE CHANNEL ESTIMATION FOR AERONAUTICAL TELEMETRY
Advisor
Rice, MichaelAffiliation
Brigham Young UniversityIssue Date
2016-11Metadata
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Copyright © held by the author; distribution rights International Foundation for TelemeteringCollection Information
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.Abstract
This 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.Sponsors
International Foundation for TelemeteringISSN
0884-51230074-9079