Adaptive Forgetting Factor Subarray RLS Beamforming for Multipath Environments

作者：Chang Ann Chen^*; Hsu Chun; Su Ing Jiunn

来源：IEICE - Transactions on Communications, 2008, E91B(10): 3342-3346.

DOI：10.1093/ietcom/e91-b.10.3342

• adaptive beamforming
• recursive least squares
• generalized sidelobe canceller
• adaptive forgetting factor

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.

• 出版日期2008-10
• 单位中国人民解放军国防大学