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Sparse adaptive filter estimation/equalization comparison for underwater acoustic communication
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Paper 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.

Paper Details

Date Published: 9 November 2018
PDF: 8 pages
Proc. SPIE 10826, Infrared, Millimeter-Wave, and Terahertz Technologies V, 108260G (9 November 2018); doi: 10.1117/12.2501318
Show Author Affiliations
M. T. A. Khan, Air Univ. (Pakistan)
B. Maqsood, Lahore Univ. of Management Science (Pakistan)
Z. Ishaq, Gomal Univ. (Pakistan)


Published in SPIE Proceedings Vol. 10826:
Infrared, Millimeter-Wave, and Terahertz Technologies V
Cunlin Zhang; Xi-Cheng Zhang; Masahiko Tani, Editor(s)

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