一种主瓣灵巧干扰环境下的盲距离-角度联合估计方法

提出了一种主瓣灵巧干扰环境下的盲距离-角度联合估计方法，可有效对抗主瓣灵巧干扰（Mainlobe Smart Jamming，MSJ）并提取目标回波的距离-角度联合参数信息.新方法首先利用阵元级数据进行盲源分离（Blind Source Separation，BSS），分离目标回波和干扰，同时可得到信源混合矩阵的估计.然后根据主瓣灵巧干扰在某一角度上表现为多个回波信号，而目标只有一个回波这一先验信息来鉴别目标和主瓣灵巧干扰，由此可以估计目标的距离参数.最后，由上述的鉴别结果得到对应目标的混合矩阵的列矢量，其包含了目标导向矢量信息，据此可估计目标的空间角度参数.仿真结果表明，新方法可以至少有效对抗2个主瓣灵巧干扰，且可同时得到较高的目标距离-角度估计精度.另外，分析了目标输入信噪比、输入干噪比、目标与干扰的夹角、干扰空域个数对所提方法性能的影响，并给出了本文方法能够有效盲距离-角度联合估计的边界条件.

A Blind Range-Direction Estimation Method in Mainlobe Smart Jamming

A blind range-direction estimation method is proposed for suppressing the mainlobe smart jamming (MSJ).The proposed method can effectively suppress the MSJ and estimate the direction-distance parameter of the target echo.Firstly,the target and MSJ is separated by the blind source separation (BSS) algorithm with the element data,and the estimation of the mixed matrix can be obtained simultaneously.Secondly,according to the prior information that the MSJ contains multiple false target echoes in a certain direction,while the real target just contains one echo,we can determine the separated channel which contains the real target.In this way,the real target distance parameter can be estimated.Finally,the mixed matrix column vector of the real target is obtained by the above judgement,which can be adopted to estimate the direction parameter of the real target.Simulation results show that the proposed method can effectively suppress two MSJs at least,and obtain good range-direction estimation performance at the same time.In addition,we analyze the effects of signal-to-noise ratio (SNR),interference-to-noise ratio (INR),the angle between the target and MSJ,and the MSJ number on the performance of the proposed method.The corresponding boundary conditions are also given.