王建, 盛卫星, 韩玉兵, 马晓峰. 基于压缩感知的圆阵自适应数字波束形成算法[J]. 电波科学学报, 2014, 29(3): 455-461. doi: 10.13443/j.cjors. 2013060802
      引用本文: 王建, 盛卫星, 韩玉兵, 马晓峰. 基于压缩感知的圆阵自适应数字波束形成算法[J]. 电波科学学报, 2014, 29(3): 455-461. doi: 10.13443/j.cjors. 2013060802
      WANG Jian, SHENG Weixing, HAN Yubing, MA Xiaofeng. Compressed sensing based adaptive digital beamforming algorithm in circle arrays[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(3): 455-461. doi: 10.13443/j.cjors. 2013060802
      Citation: WANG Jian, SHENG Weixing, HAN Yubing, MA Xiaofeng. Compressed sensing based adaptive digital beamforming algorithm in circle arrays[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2014, 29(3): 455-461. doi: 10.13443/j.cjors. 2013060802

      基于压缩感知的圆阵自适应数字波束形成算法

      Compressed sensing based adaptive digital beamforming algorithm in circle arrays

      • 摘要: 根据目标在空间的稀疏性,在圆形面阵的接收端,提出了一种基于压缩感知的自适应数字波束形成算法.该算法在不改变波束性能与天线口径的前提下,可以大大减少实际的阵元数目,是一种新的稀布阵方法.在阵元稀布的情况下,根据压缩感知的压缩采样理论,先用重构算法恢复缺失通道的回波信息,然后利用恢复得到的信号计算自适应权系数,得到理想的自适应数字波束方向图.不同信噪比和干噪比情况下的仿真结果验证了所提算法的正确性和有效性.

         

        Abstract: A new adaptive digital beamforming algorithm of circle arrays in the receiving end based on compressed sensing is proposed.According to the sparsity of the targets in space,we design a digital beamforming by using the theory of compressed sensing.The algorithm greatly reduces the number of the actual array elements without reducing the antenna aperture.It is a new method for sparse arrays.In the case of sparse arrays,the echo information of the missing channels is restored firstly by using the theory of compressed sensing.Then the restored signal is used to calculate the weights by using the adaptive digital beamforming algorithm.Finally,the simulation results show the correctness of the proposed method.

         

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