YU Weichuang,HE Peiyu,XU Zili,et al.Optimization Method of Sparse Array Steering-invariant Constant Beamwidth Beamforming[J].Journal of Chengdu University of Information Technology,2020,35(04):367-372.[doi:10.16836/j.cnki.jcuit.2020.04.001]
稀疏阵列方向不变恒定束宽波束形成优化方法
- Title:
- Optimization Method of Sparse Array Steering-invariant Constant Beamwidth Beamforming
- 文章编号:
- 2096-1618(2020)04-0367-06
- Keywords:
- signal and information processing; beamforming; steering-invariant constant beamwidth; sparse array; compressed sensing; second-order cone programming
- 分类号:
- TN911.7
- 文献标志码:
- A
- 摘要:
- 为减少实际阵元数目并保证不同指向角对应的波束主瓣宽度保持恒定,提出一种基于压缩感知(compressive sensing,CS)和二阶锥规划(second order cone programming,SOCP)的方向不变波束形成(steering-invariant beamforming,SIB)优化方法。运用CS恢复算法对阵列虚拟拓展后的稀疏阵列采集到的压缩测量信号进行恢复并计算其虚拟加权矢量。通过虚拟加权矢量设计参考波束,采用设计波束主瓣与参数波束主瓣均方误差最小条件下保证设计波束旁瓣水平最低的准则,基于SOCP方法进行方向不变波束形成优化设计。实验结果表明,提出的方法在保证方向不变恒定束宽波束形成性能的同时,减少了实际阵元数目
- Abstract:
- In order to reduce the number of actual array elements and keep the mainlobe width of beam corresponding to different pointing angles constant, a steering-invariant beamforming(SIB)optimization method based on compressed sensing(CS)and second-order cone programming(SOCP)is proposed. Use CS recovery algorithm to recover the compression measurement signals collected by the sparse array after virtual expansion of array and calculate its virtual weighted vector
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备注/Memo
收稿日期:2019-11-28
基金项目:国家自然科学基金资助项目(61071159,U1733109)