DocumentCode :
1671363
Title :
Quaternion-based worst case constrained beamformer based on electromagnetic vector-sensor arrays
Author :
Xirui Zhang ; Wei Liu ; Yougen Xu ; Zhiwen Liu
Author_Institution :
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear :
2013
Firstpage :
4149
Lastpage :
4153
Abstract :
A robust adaptive beamforming scheme based on two-component electromagnetic (EM) vector-sensor arrays is proposed by extending the well-known worst-case constraint into the quaternionic domain. After defining the uncertainty set of the desired signal´s quaternionic steering vector, two quaternion-based constrained minimization problems are derived. We then reformulate them into two real-valued convex quadratic problems, which can be easily solved via the second-order cone (SOC) programming approach. Numerical simulations show that our quaternion-based robust beamformer significantly outperforms the sample matrix inversion minimum variance distortionless response (SMI-MVDR) beamformer and the quaternion Capon (Q-Capon) beamformer in the presence of steering vector mismatches.
Keywords :
array signal processing; convex programming; minimisation; numerical analysis; EM vector-sensor arrays; Q-Capon; SMI-MVDR; SOC programming approach; numerical simulations; quaternion Capon beamformer; quaternion-based constrained minimization problems; quaternion-based worst case constrained beamformer; quaternionic domain; real-valued convex quadratic problems; robust adaptive beamforming scheme; sample matrix inversion minimum variance distortionless response beamformer; second-order cone programming approach; signal quaternionic steering vector; steering vector mismatches; two-component electromagnetic vector-sensor arrays; uncertainty set; Adaptive arrays; Array signal processing; Interference; Quaternions; Robustness; Signal to noise ratio; Vectors; Robust adaptive beamformer; quaternion; vector-sensor array; worst case constraint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6638440
Filename :
6638440
Link To Document :
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