基于滑动平均和逆抛物方程的目标定位法  

Moving average algorithm and inverse parabolic equation method applied in target localization

作　　者：周亮[1] 廖成[1] 盛楠 张青洪[1] 

机构地区：[1]西南交通大学电磁场与微波技术研究所,成都610031

出　　处：《电波科学学报》2015年第6期1144-1150,共7页Chinese Journal of Radio Science

摘　　要：应用逆抛物方程法进行有源目标定位时,传播空间中的背景散射体会产生高强度的杂波,从而导致其定位精度下降或失效.针对这一问题,使用自适应滑动平均算法进行有效信号提取,研究了不规则地形和不均匀大气媒质环境中的目标定位问题,分析了定位误差和定位门限的选取.通过对离散化的回波数据进行处理,利用运动目标和背景杂波的非相干特性进行信号提取和杂波抑制.仿真结果表明:该方法与逆抛物方程定位算法相比,改善了目标位置的信号聚焦程度和信干噪比.Wave propagation in irregular topography and inhomogeneous medium environment can be calculated via split step Fourier Transform algorithm, the inverse parabolic equation method could locate the source position in complex environments effectively, however, directly extending this algorithm to the field of active radar target detection will meet several difficulties, the inhomogeneous medium will seriously deteriorate the quality of radar echo, leading to detection signals submerged in the noise from the background of clutter echo. In order to eliminate the influence of background scattering and improve the positioning accuracy, a novel adaptive elimination algorithm is proposed. This article combines the two-way parabolic equation method, adaptive interference cancellation algorithm and inverse parabolic equation, the combined algorithm have the ability to eliminate the background clutter echo effectively and locate the unknown or non-cooperation target accurately, and it can be validated by numerical simulation. Copyright © 2015 by Editorial Department of Chinese Journal of Radio Science

关 键 词：逆抛物方程 滑动平均算法 干扰消除 有源目标定位 动目标显示 

分 类 号：TN011[电子电信—物理电子学]