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9 November 2018 Sparse adaptive filter estimation/equalization comparison for underwater acoustic communication
M. T. A. Khan, B. Maqsood, Z. Ishaq
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Proceedings Volume 10826, Infrared, Millimeter-Wave, and Terahertz Technologies V; 108260G (2018) https://doi.org/10.1117/12.2501318
Event: SPIE/COS Photonics Asia, 2018, Beijing, China
Abstract
Multipath channel impulse response is depicted by a very few significant non-zero taps that are widely separated in time. In this paper, different estimation and equalization techniques are discussed which exploit sparse nature of radio communication channels. Various channel estimation techniques are implemented, and a comprehensive comparative analysis is presented for sparse multipath channels. The metrics used for performances evaluation are Bit error rate (BER) and Normalized channel mean square error (NCMSE). Finally, a comparative analysis of adaptive estimation algorithms is demonstrated such as LMS, NLMS, and VSSLMS for both sparse and non-sparse multipath channels.
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M. T. A. Khan, B. Maqsood, and Z. Ishaq "Sparse adaptive filter estimation/equalization comparison for underwater acoustic communication", Proc. SPIE 10826, Infrared, Millimeter-Wave, and Terahertz Technologies V, 108260G (9 November 2018); https://doi.org/10.1117/12.2501318
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KEYWORDS
Acoustics
Signal to noise ratio
Digital filtering
Wireless communications
Telecommunications
Electrical engineering
RF communications
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