DocumentCode :
51151
Title :
Adaptive Transmit and Receive Beamforming for Interference Mitigation
Author :
Zhu Chen ; Hongbin Li ; Guolong Cui ; Rangaswamy, Muralidhar
Author_Institution :
Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
Volume :
21
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
235
Lastpage :
239
Abstract :
We consider adaptive transmit and receive beampattern design for array radar systems. While adaptive processing is primarily employed for only receive beamforming in conventional design, we propose a fully adaptive approach involving jointly selecting the transmit correlation matrix and receive beamformer by maximizing the signal-to-interference-plus-noise ratio (SINR). The motivation of utilizing adaptive processing at the transmitter is that with imprecise knowledge of the interference (e.g., due to limited training data), only relying on adaptive receive beamforming may be inadequate for effective interference cancellation, whereas joint adaptive transmit and receive beamforming can afford a stronger ability to handle the interference. Simulations are provided to demonstrate the performance of the proposed joint beamforming approach.
Keywords :
adaptive signal processing; array signal processing; correlation methods; interference suppression; radar signal processing; adaptive processing; adaptive receive beamforming; adaptive transmit beamforming; array radar system; interference mitigation; joint beamforming; receive beamformer; transmit correlation matrix; Array signal processing; Correlation; Covariance matrices; Interference; Radar; Signal to noise ratio; Training data; Adaptive processing; interference cancellation; receive beamforming; transmit beamforming;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2014.2298497
Filename :
6704720
Link To Document :
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