Adaptive Forgetting Factor Subarray RLS Beamforming for Multipath Environments

Ann-Chen CHANG; Chun HSU; Ing-Jiunn SU

doi:10.1093/ietcom/e91-b.10.3342

Regular Section

Adaptive Forgetting Factor Subarray RLS Beamforming for Multipath Environments

Ann-Chen CHANG, Chun HSU, Ing-Jiunn SU

Author information

Keywords: adaptive beamforming, recursive least squares, generalized sidelobe canceller, adaptive forgetting factor

JOURNAL RESTRICTED ACCESS

2008 Volume E91.B Issue 10 Pages 3342-3346

DOI https://doi.org/10.1093/ietcom/e91-b.10.3342

Details

Abstract

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.

Corresponding author

Register with J-STAGE for free!