A computationally efficient robust adaptive beamforming for general-rank signal model with positive semi-definite constraint

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2011

Volumn , Issue , 2011, Pages 185-188

  Khabbazibasmenj, Arash ^a   Vorobyov, Sergiy A ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BEAMFORMING METHODS; COMPUTATIONALLY EFFICIENT; GLOBAL OPTIMUM; NONCONVEX OPTIMIZATION; OPTIMIZATION PROBLEMS; ROBUST ADAPTIVE BEAMFORMING; SIGNAL MODELS;

BEAMFORMING; CONDITION MONITORING; CONVEX OPTIMIZATION; ITERATIVE METHODS; SENSORS;

PROBLEM SOLVING;

EID: 84857163348     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CAMSAP.2011.6135977     Document Type: Conference Paper

References (7)

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3. A. Khabbazibasmenj, S. A. Vorobyov, and A. Hassanien, " Robust adaptive beamforming via estimating steering vector based on semidefinite relaxation," in Proc. 44th Annual Asilomar Conf. Signals, Systems, and Computers, Pacific Grove, California, USA, Nov. 7-10, 2010, pp. 1102-1106.
4. S. A. Vorobyov, H. Chen, and A. B. Gershman, "On the relationship between robust minimum variance beamformers with probabilistic and worst-case distrortionless response constraints," IEEE Trans. Signal Processing, vol. 56, no. 11, pp. 5719-5724, Nov. 2008.
5. S. Shahbazpanahi, A. B. Gershman, Z-Q. Luo, and K. M. Wong, "Robust adaptive beamforming for generalrank signal models,"IEEE Trans. Signal Processing, vol. 51, pp. 2257-2269, Sept. 2003.
6. H. H. Chen and A. B. Gershman, "Robust adaptive beamforming for general-rank signal models with positive semi-definite constraints," IEEE ICASSP, Las Vegas, USA, Apr. 2008, pp. 2341-2344.
7. H. H. Chen and A. B. Gershman, " Worst-case based robust adaptive beamforming for general-rank signal models using positive semidefinite covariance constraint," IEEE ICASSP, Prauge, Czech Republic, May. 2011, pp. 2628-2631.