Adaptive Forgetting Factor Subarray RLS Beamforming for Multipath Environments

Ann-Chen CHANG
Chun HSU
Ing-Jiunn SU

IEICE TRANSACTIONS on Communications   Vol.E91-B    No.10    pp.3342-3346
Publication Date: 2008/10/01
Online ISSN: 1745-1345
DOI: 10.1093/ietcom/e91-b.10.3342
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Wireless Communication Technologies
adaptive beamforming,  recursive least squares,  generalized sidelobe canceller,  adaptive forgetting factor,  

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This letter presents an efficient adaptive beamformer to deal with the multipath environments created by signal source scatterings. To improve the performance possible with the fixed forgetting factor, the regular adaptive forgetting factor algorithm is derived and applied to the subarray recursive least squares (RLS) beamforming. Simulations confirm that the proposed scheme has better performance than not only the conventional RLS algorithm but also the subarray RLS and adaptive forgetting factor RLS algorithms.