基于Capon的CSB sin-FDA稳健波束形成

Adaptive Beamforming of CSB sin-FDA Based on RCB Algorithm

  • 摘要: 针对抑制与目标位置接近的干扰过程中,MVDR波束形成器在阵元数较大、导向矢量失配情况下出现的主瓣畸变问题展开分析.在CSB sin-FDA接收阵列结构代替ULA-FDA接收阵列的基础上,通过RCB算法对存在误差的估计导向矢量进行修正,计算修正后的最优权矢量.仿真验证了本文方法与基于PA的MVDR波束形成器,基于FDA-BFF的MVDR波束形成器相比,在导向矢量失配时的性能优势.

     

    Abstract: In the process of suppressing interference near the target position,the minimum variance distortionless response (MVDR) beamformer will appear the mainlobe distortion problem in the condition of mismatched steering vector and more array cells.To solve the problem,the CSB sin-FDA receiving array was used to replace the ULA-FDA receiving array,and the mismatched steering vector was modified based on the RCB algorithm,calculating the optimal power vector.Simulation test was carried out to validate the performance advantages of the proposed method,compared with the MVDR based on PA,MVDR based on FDA-BFF,and the MVDR based on FDA-MIMO.

     

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