基于最大似然估计的机载双基地雷达杂波抑制方法

Airborne bistatic radar clutter suppression method based onmaximum likelihood estimation

首先建立了机载双基地雷达的杂波模型,然后分析了机载双基地雷达杂波谱的空时分布特性,比较了最大似然估计方法与其他几种常规估计方法的性能,最后在此基础上提出了一种新的基于配准的最大似然非均匀采样距离相关性补偿方法。该方法通过最大似然估计方法完成对双基地机载雷达杂波幅度的估计,并利用非均匀采样选取各训练样本的杂波谱中心实现对杂波谱的配准。仿真结果表明,在各种不同的双基地机载雷达配置情况下,该方法均可有效解决双基地机载雷达面临的杂波非均匀问题。

The clutter model of airborne bistatic radars is established firstly,then the characteristics of clutter power spectrum are analyzed based on the presented clutter model,and the performance of maximum likelihood estimation is compared with that of other conventional methods.Finally,a novel method,i.e.registration based on maximum likelihood non-uniform frequency sampling（RBMLNFS）,is proposed to compensate the clutter range dependence of the airborne bistatic radar.In the proposed method,the amplitude of clutter of the airborne bistatic radar is estimated by means of maximum likelihood estimation,and the registration of clutter spectra is completed by the selection of clutter spectrum centres of training samples based on non-uniform frequency sampling.The simulation results manifest that clutter nonhomogeneity of the airborne bistatic radar can be solved effectively using the proposed method.