CAJ | 학술논문

目标内部运动部件对雷达回波产生的周期性运动部件调制(PMPM)为目标识别提供了丰富的特征信息.但由于大多数雷达均采用多目标工作方式,因此,通常情况下只能从雷达获得不连续的目标回波脉冲串,这极大增加了根据目标回波频谱提取PMPM特征的难度.针对含PMPM目标回波频谱具有简单结构这一特点,提出了基于最小熵准则的交替迭代反卷积方法(AIDME)用于扩展目标雷达回波频谱估计.结果表明:与傅里叶谱分析方法相比,该方法能够有效消除卷积核函数的不利影响,获得逼近目标回波真实谱的良好谱估计结果.
목표내부운동부건대뢰체회파산생적주기성운동부건조제(PMPM)위목표식별제공료봉부적특정신식.단유우대다수뢰체균채용다목표공작방식,인차,통상정황하지능종뢰체획득불련속적목표회파맥충천,저겁대증가료근거목표회파빈보제취PMPM특정적난도.침대함PMPM목표회파빈보구유간단결구저일특점,제출료기우최소적준칙적교체질대반권적방법(AIDME)용우확전목표뢰체회파빈보고계.결과표명:여부리협보분석방법상비,해방법능구유효소제권적핵함수적불리영향,획득핍근목표회파진실보적량호보고계결과.
The Periodicallg Moving Part Modulation (PMPM) for the moving parts in target provides important signatures for target recognition. However, most radars operate in multiple-target mode and can only get discontinuous clusters of the returned pulses, which makes it extremely difficult to extract PMPM signature from the echoes. This paper puts forward the Alternative Iteration Deconvolution based on Minimum Entropy criteria (AIDME) for spectral estimation of extended target's echoes, utilizing the special feature that the PMPM spectra usually have simple structures. Experimental results show that this method can effectively eliminate the severe influence caused by the convolution kernel and gain a satisfactory spectral estimation that approaches to the true spectrum.