Diffusion least-mean P-power algorithms for distributed estimation in alpha-stable noise environments

A diffusion least-mean P-power (LMP) algorithm is proposed for distributed estimation in alpha-stable noise environments, which is one of the widely used models that appears in various environments. Compared with the diffusion least-mean squares algorithm, better performance is obtained for the diff...

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Veröffentlicht in:	Electronics letters 2013-10, Vol.49 (21), p.1355-1356
1. Verfasser:	Wen, F
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive estimation Algorithms alpha‐stable distribution alpha‐stable noise environment Applied sciences Detection, estimation, filtering, equalization, prediction Diffusion diffusion least‐mean P‐power algorithm distributed estimation Exact sciences and technology impulse noise Information, signal and communications theory least mean squares methods least‐mean square algorithm LMP algorithm Noise Signal and communications theory signal processing Signal, noise Telecommunications and information theory Wireless communications
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Beschreibung
Zusammenfassung:	A diffusion least-mean P-power (LMP) algorithm is proposed for distributed estimation in alpha-stable noise environments, which is one of the widely used models that appears in various environments. Compared with the diffusion least-mean squares algorithm, better performance is obtained for the diffusion LMP methods when the noise is with alpha-stable distribution.
ISSN:	0013-5194 1350-911X 1350-911X
DOI:	10.1049/el.2013.2331