Adaptive beamforming with joint robustness against signal mismatch and interference nonstationarity

Adaptive beamforming methods degrade in the presence of both signal mismatch and interference nonstationarity. This paper presents a more robust method to adaptive beamforming that provides joint robustness against signal mismatch and interference nonstationarity. We generalize the conventional line...

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Bibliographic Details
Published in2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications pp. 284 - 288
Main Authors Wu, Bao-zhong, Qian, Zu-ping, Qu, Xin-bo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
adaptive beamforming
Array signal processing
Computer errors
Cost function
Covariance matrix
Degradation
diagonal loading
Interference constraints
interference nonstationarity
Programmable logic arrays
Robust
Robustness
Sensor arrays
signal mismatch
support vector machine
Support vector machines
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Summary:Adaptive beamforming methods degrade in the presence of both signal mismatch and interference nonstationarity. This paper presents a more robust method to adaptive beamforming that provides joint robustness against signal mismatch and interference nonstationarity. We generalize the conventional linearly constrained minimum variance cost function by introducing the error matrix of signal covariance matrix and error constraints of DOA. The final cost function adopts the form of a support vector machine (SVM) for regression. Computer simulations demonstrate an improved performance in comparison with other robust beamforming techniques.
ISBN:1424440769
9781424440764
DOI:10.1109/MAPE.2009.5355922