相控陣AEW雷達(dá)動(dòng)目標(biāo)檢測(cè)的最大似然方法
A New Maximum Likelihood Method to Moving Target Detection for Phased Airborne Early Warning Radar
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摘要: 非均勻環(huán)境對(duì)空時(shí)自適應(yīng)處理(STAP)是一個(gè)挑戰(zhàn).對(duì)此,該文提出了一種基于最大似然估計(jì)的相控陣AEW雷達(dá)動(dòng)目標(biāo)檢測(cè)方法.該方法具有計(jì)算量低、主雜波區(qū)性能好和孤立干擾抑制能力強(qiáng)等優(yōu)點(diǎn).其有效性得到計(jì)算機(jī)仿真數(shù)據(jù)和某實(shí)測(cè)數(shù)據(jù)的處理結(jié)果所證實(shí).Abstract: It is a challenge for Space Time Adaptive Processing （STAP） in non-homogeneous environment. Thus, a new maximum likelihood method to moving target detection for phased Airborne Early Warning （AEW） radar is presented in this paper. This new method has advantages of low computational expense, excellent target detection performance in the main clutter field, and strong ability to mitigate isolate interference. Its effectiveness is also verified by the computational results of simulation and the some real data.
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