Reweighted lp constraint LMS-based adaptive sparse channel estimation for cooperative communication system

The issue of sparsity adaptive channel reconstruction in time-varying cooperative communication networks through the amplify-and-forward transmission scheme is studied. A new sparsity adaptive system identification method is proposed, namely reweighted $l_p$lp norm ($0 \lt p \lt 1$0

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Veröffentlicht in:	IET communications 2020-06, Vol.14 (9), p.1384-1391
Hauptverfasser:	Zhang, Aihua, Liu, Pengcheng, Ning, Bing, Zhou, Qiyu
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive filters amplify and forward communication channel estimation coefficient misalignment vector communication system computational complexity cooperative communication cost function iterative methods least mean squares methods LMS algorithm LMS channel estimation norm adaptive sparse system identification norm problem p constraint LMS‐based adaptive sparse channel estimation performance upper bounds Research Article signal reconstruction sparse channel vectors sparsity adaptive channel reconstruction sparsity adaptive system identification method time‐varying cooperative communication networks wireless channels
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Beschreibung
Zusammenfassung:	The issue of sparsity adaptive channel reconstruction in time-varying cooperative communication networks through the amplify-and-forward transmission scheme is studied. A new sparsity adaptive system identification method is proposed, namely reweighted $l_p$lp norm ($0 \lt p \lt 1$0
ISSN:	1751-8628 1751-8636
DOI:	10.1049/iet-com.2018.6186