DocumentCode
1856206
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
fYear
2012
fDate
27-31 Aug. 2012
Firstpage
1349
Lastpage
1353
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location
Bucharest
ISSN
2219-5491
Print_ISBN
978-1-4673-1068-0
Type
conf
Filename
6334243
Link To Document