当前位置:主页 > 科技论文 > 信息工程论文 >

迭代优化最小化唯相位波束形成

发布时间:2018-08-18 13:04
【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。
[Abstract]:In order to enhance the interference and noise suppression performance of Phase-Only Beamforming (POB) and improve the real-time performance of non-convex POB weights, an Iterative Majorization Minimization (IMM) phase-only minimum variance distortionless response beamformer (Minimum Variance Distortion-less Respo) is designed. NSE Beamformer (MVDRB). The distortion-free response constraint is transformed into the maximum expected directional array response. The upper bound of the quadratic objective function is derived, and the IMM-POB optimization model is obtained. The closed-form optimal solution for each iteration is further derived. The simulation results show that the IMM-POB designed can obtain higher than the existing overlap under the same input signal-to-noise ratio. The SINR of the surrogate algorithm and the optimal MVDRB is improved; the performance of interference suppression is almost completely close to the optimal MVDRB and has better noise suppression; it is less affected by the snapshot number; and the closed-form optimal weight contains only single matrix and vector multiplication, which makes the algorithm more real-time and can be applied to large-scale arrays.
【作者单位】: 西安电子科技大学雷达信号处理国家重点实验室;西安电子科技大学信息感知技术协同创新中心;
【基金】:国家自然科学基金(51405364,51305323)~~
【分类号】:TN911.7


本文编号:2189550

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2189550.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户b9f6b***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com