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Volume 39 Issue 3
Mar.  2017
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WU Kai, SU Tao, LI Qiang. Phase-only Beamforming via Iterative Majorization Minimization[J]. Journal of Electronics & Information Technology, 2017, 39(3): 662-669. doi: 10.11999/JEIT160472
Citation: WU Kai, SU Tao, LI Qiang. Phase-only Beamforming via Iterative Majorization Minimization[J]. Journal of Electronics & Information Technology, 2017, 39(3): 662-669. doi: 10.11999/JEIT160472

Phase-only Beamforming via Iterative Majorization Minimization

doi: 10.11999/JEIT160472
Funds:

The National Natural Science Foundation of China (51405364, 51305323)

  • Received Date: 2016-05-10
  • Rev Recd Date: 2016-09-12
  • Publish Date: 2017-03-19
  • To improve the interference and noise suppression ability of Phase-Only Beamforming (POB) and the real-time performance to obtain the optimal weight of the uon-convex POB, a phase-only Minimum Variance Distortion-less Response Beamformer (MVDRB) via the Iterative Majorization Minimization (IMM) algorithm is designed. The distortion-less response constraint is transformed into maximizing array response in the desired direction. The upper bound function of the objective function in quadratic form is derived which generates the IMM-POB model. The optimal weight in closed-form for each iteration is further deduced. Simulation analysis illustrates that the proposed IMM-POB can obtain better signal to interference and noise ratio improvement compared with the existing iterative POB algorithms and the optimal MVDRB; its interference suppression ability approximates the optimal MVDRB with better noise suppression ability; it is much less sensitive to the number of array taps compared with the optimal MVDRB; it has strong real-time performance and can be applied to large-scale array.
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