Title :
A class of robust adaptive beamforming algorithms for coherent interference suppression
Author :
Lei Zhang ; Wei Liu
Author_Institution :
Commun. Technol. Lab., Huawei Technol. Co., Ltd., Nanjing, China
Abstract :
Based on the uniform linear array (ULA) and the spatial-smoothing technique, a robust beamforming problem for the reception of coherent signals is addressed and a forward-only (FO) beamformer is proposed based on worst-case optimization by considering both the steering vector and the correlation matrix errors. It is then extended to the forward-backward (FB) case with an improved performance. By introducing a preprocessing matrix, real-valued closed-form solutions are then derived with the same performance as in the FB case, but with much lower computational complexity. Simulations verified the effectiveness of the proposed algorithms.
Keywords :
adaptive signal detection; array signal processing; coherence; computational complexity; correlation methods; interference suppression; matrix algebra; optimisation; FB beamformer; FO beamformer; ULA; coherent interference suppression; coherent signal reception; computational complexity; correlation matrix errors; forward-backward beamformer; forward-only beamformer; performance improvement; preprocessing matrix; real-valued closed-form solutions; robust adaptive beamforming algorithms; robust beamforming problem; spatial-smoothing technique; steering vector; uniform linear array; worst-case optimization; Array signal processing; Arrays; Correlation; Interference; Robustness; Signal to noise ratio; Vectors;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-1068-0