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基于罚函数和特征空间的子阵级自适应波束形成
引用本文:杨小鹏,张宗傲,孙雨泽,闫路.基于罚函数和特征空间的子阵级自适应波束形成[J].北京理工大学学报,2016,36(5):541-545,550.
作者姓名:杨小鹏  张宗傲  孙雨泽  闫路
作者单位:北京理工大学信息与电子学院,北京,100081;北京理工大学信息与电子学院,北京,100081;北京理工大学信息与电子学院,北京,100081;北京理工大学信息与电子学院,北京,100081
基金项目:国家高等学校学科创新引智计划(B14010);国家自然科学基金资助项目(61225005,61120106004)
摘    要:基于线性约束最小方差(LCMV)准则的自适应波束形成算法在实际中得到了广泛的应用,但当其应用到子阵级时,自适应方向图主瓣变形且旁瓣升高,抗干扰性能严重下降.针对这些问题,提出一种基于罚函数和特征空间的子阵级自适应波束形成算法,引入罚函数对自适应方向图进行约束使其逼近期望的静态方向图;同时在干扰子空间约束波束响应为0,对干扰信号进行抑制.该算法在有效抑制干扰的同时,能够使主瓣保形并保持较低的旁瓣,还能获得较好的输出信干噪比.通过阵列方向图及输出信干噪比的计算机仿真验证该算法的有效性. 

关 键 词:自适应波束形成  子阵级  线性约束  罚函数  干扰子空间
收稿时间:2014/1/15 0:00:00

Adaptive Beamforming at Sub-Array Level Based on Penalty Function and Eigen-Space
YANG Xiao-peng,ZHANG Zong-ao,SUN Yu-ze and YAN Lu.Adaptive Beamforming at Sub-Array Level Based on Penalty Function and Eigen-Space[J].Journal of Beijing Institute of Technology(Natural Science Edition),2016,36(5):541-545,550.
Authors:YANG Xiao-peng  ZHANG Zong-ao  SUN Yu-ze and YAN Lu
Institution:School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Abstract:Adaptive beamforming algorithm based on the linearly constrained minimum variance principle (LCMV) is widely applied in adaptive array processing. However, when LCMV is applied to the sub-array level, it causes the distortion of the mainlobe and heightening of the sidelobe. In order to solve these problems, an adaptive beamforming algorithm at sub-array level was proposed based on penalty function and eigen-space. In this proposed method, the penalty function was applied to control the adaptive pattern, meanwhile, interference was suppressed adaptively by setting constraints in interference subspace. Results show that, the proposed method can not only provide automatic suppression of jamming but also guarantee the adaptive pattern be close to the desired quiescent pattern, so that the mainlobe of the pattern is maintained and the level of the sidelobe is lowered. Furthermore, it provides better performance of output signal to interference plus noise ratio (SINR). Computer simulation results of array pattern and output SINR prove the validity of this proposed algorithm.
Keywords:adaptive beamforming  sub-array level  linearly constraints  penalty function  interference subspace
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