Abstract | ||
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Two new approaches to adaptive beamforming in sparse subarray-based partly calibrated sensor arrays are developed. Each subarray is assumed to be well calibrated, so that the steering vectors of all subarrays are exactly known. However, the intersubarray gain and/or phase mismatches are known imperfectly or remain completely unknown. Our first approach is based on a worst-case beamformer design which, in contrast to the existing worst-case designs, exploits a specific structured ellipsoidal uncertainty model for the signal steering vector rather than the commonly used unstructured uncertainty models. Our second approach is based on estimating the unknown intersubarray parameters by maximizing the output power of the minimum variance beamformer subject to a proper constraint that helps to avoid trivial solution of the resulting optimization problem. Different modifications of the second approach are developed for the cases of gain-and-phase and phase-only intersubarray distortions. |
Year | DOI | Venue |
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2010 | 10.1109/TSP.2009.2037852 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
minimum variance beamformer subject,specific structured ellipsoidal uncertainty,unknown intersubarray parameter,signal steering vector,phase-only intersubarray distortion,unstructured uncertainty model,new approach,robust adaptive,steering vector,intersubarray gain,sparse sensor array,existing worst-case design,apertures,optimization problem,constraint optimization,minimum variance,power generation,sensor array,adaptive beamforming,uncertainty,robustness,calibration | Signal processing,Sparse array,Mathematical optimization,Adaptive beamformer,Control theory,Sensor array,Robustness (computer science),Phase distortion,Optimization problem,Mathematics,Constrained optimization | Journal |
Volume | Issue | ISSN |
58 | 3 | 1053-587X |
Citations | PageRank | References |
14 | 1.05 | 19 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lei Lei | 1 | 17 | 2.52 |
Joni Polili Lie | 2 | 63 | 7.43 |
alex b gershman | 3 | 920 | 66.97 |
Chong Meng Samson See | 4 | 175 | 19.41 |