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一种旁瓣级可控的MVDR波束形成算法
引用本文:马凯,王平波,代振.一种旁瓣级可控的MVDR波束形成算法[J].声学技术,2019,38(3):360-363.
作者姓名:马凯  王平波  代振
作者单位:海军工程大学电子工程学院, 湖北武汉 430033,海军工程大学电子工程学院, 湖北武汉 430033,海军工程大学电子工程学院, 湖北武汉 430033
摘    要:针对传统的最小方差无畸变响应(Minimum Variance Distortionless Response,MVDR)波束形成方法存在的旁瓣较高且抑制干扰性能不稳健的情况,提出一种旁瓣级可控的自适应波束形成算法。该算法在MVDR基础上进行峰值搜索,将获得的峰值点从大到小进行排序,取次大值作为最高旁瓣的值,将得到的最高旁瓣值与期望旁瓣值比较,在其方位添加虚拟干扰加以抑制,从而得到新的波束图。再对新的波束图进行峰值搜索,不断重复上述过程,经过有限次迭代以达到期望旁瓣值。计算机仿真结果表明在均匀线阵基础上该算法能够将旁瓣控制到期望旁瓣级以下且比较稳健。

关 键 词:自适应波束形成|最小方差无畸变响应(MVDR)|低旁瓣|虚拟干扰|峰值搜索
收稿时间:2018/1/12 0:00:00
修稿时间:2018/2/26 0:00:00

A controllable sidelobe MVDR beamforming algorithm
MA Kai,WANG Ping-bo and DAI Zhen.A controllable sidelobe MVDR beamforming algorithm[J].Technical Acoustics,2019,38(3):360-363.
Authors:MA Kai  WANG Ping-bo and DAI Zhen
Affiliation:College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, Hubei, China,College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, Hubei, China and College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, Hubei, China
Abstract:In view of the higher sidelobes and unsteady interference suppression of the traditional minimum variance distortionless response (MVDR) beamformer, an adaptive beamforming algorithm with controllable sidelobe is proposed. The algorithm firstly performs adaptive beamforming on the basis of MVDR, and then it performs peak search on the obtained beam pattern and sorts the obtained peak points from maximum to minimum. After that, the secondary maximum is taken as the value of the highest sidelobe to compare with the expected sidelobe value, and then it is suppressed by adding a virtual interference in its direction. Therefore a new beamforming pattern is obtained. Next, the peak search and other operations are once again carried out on the new beamforming pattern, and all the above iteration processes are continually repeated until reaching the expected sidelobe value. Computer simulation results show that the algorithm can rather robustly control the sidelobe below the expected level.
Keywords:adaptive beamforming|minimum variance distortionless response(MVDR)|low sidelobe|virtual interference|peak search
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