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基于稀疏重构的共形阵列稳健自适应波束形成算法

陈沛 赵拥军 刘成城

陈沛, 赵拥军, 刘成城. 基于稀疏重构的共形阵列稳健自适应波束形成算法[J]. 电子与信息学报, 2017, 39(2): 301-308. doi: 10.11999/JEIT160436
引用本文: 陈沛, 赵拥军, 刘成城. 基于稀疏重构的共形阵列稳健自适应波束形成算法[J]. 电子与信息学报, 2017, 39(2): 301-308. doi: 10.11999/JEIT160436
CHEN Pei, ZHAO Yongjun, LIU Chengcheng. Robust Adaptive Beamforming Algorithm for Conformal Arrays Based on Sparse Reconstruction[J]. Journal of Electronics & Information Technology, 2017, 39(2): 301-308. doi: 10.11999/JEIT160436
Citation: CHEN Pei, ZHAO Yongjun, LIU Chengcheng. Robust Adaptive Beamforming Algorithm for Conformal Arrays Based on Sparse Reconstruction[J]. Journal of Electronics & Information Technology, 2017, 39(2): 301-308. doi: 10.11999/JEIT160436

基于稀疏重构的共形阵列稳健自适应波束形成算法

doi: 10.11999/JEIT160436
基金项目: 

国家自然科学基金(61401469)

Robust Adaptive Beamforming Algorithm for Conformal Arrays Based on Sparse Reconstruction

Funds: 

The National Natural Science Foundation of China (61401469)

  • 摘要: 针对共形阵列天线自适应波束形成中存在的通用性差、主瓣保形困难、计算复杂度高等问题,该文提出一种基于稀疏重构的稳健自适应波束形成算法。该算法通过引入渐进最小方差准则,实现了干扰加噪声协方差矩阵的稀疏重构,并得到期望方向上的导向矢量估计,进而求得波束形成器的最优权矢量。该算法无需复杂的子阵分解或虚拟映射变换,适用于任意阵列形状。仿真实验验证了该算法不仅保证了期望的主瓣响应,同时对指向误差有较好的稳健性。与现有算法相比,该算法所需采样快拍数少,计算复杂度低,收敛速度快,在较大的输入信噪比范围内达到了较好的阵列输出性能。
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出版历程
  • 收稿日期:  2016-04-29
  • 修回日期:  2016-11-10
  • 刊出日期:  2017-02-19

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