基于四阶累积量联合对角化盲分离算法的波束净化方法

摘要

Because of more than one target appears at a sea,other signal would interfere the target we interested in,and the feature of the target will be covered by each other.Concerning the problem that conventional beamforming can't purify the signal of proximity target effectively,blind source separation based on joint approximate diagnoalisation of eigen-matrices is used for purifying beamspace signal,and the performance of the method is analyzed.Simulation results illustrate that blind source separation based on joint approximate diagnoalisation of eigen-matrices has obvious effect.%由于海上多目标的存在,目标船只的信号会与其他船只的信号混叠在一起,目标特征相互掩盖,对目标的识别造成干扰.针对常规波束形成对邻近多目标干扰净化性能不佳的问题,本文将基于四阶累积量联合对角化的盲分离算法应用于波束的净化,并对其性能进行研究分析.仿真结果表明,基于四阶累积量联合对角化的盲分离算法对波束的净化效果明显.