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迭代优化最小化唯相位波束形成

吴凯 苏涛 李强

吴凯, 苏涛, 李强. 迭代优化最小化唯相位波束形成[J]. 电子与信息学报, 2017, 39(3): 662-669. doi: 10.11999/JEIT160472
引用本文: 吴凯, 苏涛, 李强. 迭代优化最小化唯相位波束形成[J]. 电子与信息学报, 2017, 39(3): 662-669. doi: 10.11999/JEIT160472
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

迭代优化最小化唯相位波束形成

doi: 10.11999/JEIT160472
基金项目: 

国家自然科学基金(51405364, 51305323)

Phase-only Beamforming via Iterative Majorization Minimization

Funds: 

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

  • 摘要: 为了增强唯相位波束形成(Phase-Only Beamforming, POB)的干扰和噪声抑制性能,提高非凸POB权值求解的实时性,该文设计了迭代优化最小化(Iterative Majorization Minimization, IMM)唯相位最小方差无失真响应波束形成器(Minimum Variance Distortion-less Response Beamformer, MVDRB)。将无失真响应约束转化成最大化期望方向阵列响应,推导了二次型目标函数的上界,得到IMM-POB优化模型,并进一步推导出每次迭代的闭式最优解。仿真分析表明所设计的IMM-POB:在相同输入信噪比下,可获得高于现有迭代算法和最优MVDRB的信干噪比改善;干扰抑制性能几乎完全逼近最优MVDRB,且具有更优的噪声抑制性;受快拍数影响较小;闭式最优权仅包含单次矩阵和向量乘法,使算法具有较强的实时性,可应用于大规模阵列。
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出版历程
  • 收稿日期:  2016-05-10
  • 修回日期:  2016-09-12
  • 刊出日期:  2017-03-19

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