雷达微弱目标检测前跟踪算法综述

An Overview on Track-before-detect Algorithms for Radar Weak Targets

军事隐身目标的出现,给雷达带来了严峻的挑战。检测前跟踪算法是雷达微弱目标检测和航迹处理的一种有效方法。文中对雷达微弱目标检测前跟踪算法进行了综述,首先介绍了三维匹配滤波、Hough变换、动态规划和粒子滤波4类最常用的检测前跟踪实现算法的基本原理,然后述评了4类检测前跟踪算法的研究进展情况,最后在分析现有检测前跟踪算法问题的基础上,展望了雷达微弱目标检测前跟踪算法的发展趋势。

The appearance of military stealth targets is a big challenge for radar detecting and tracking. Track-before-detect （TBD） algorithm is a very effective approach to solve the problem. An overview on track before detect algorithms is presented in this pa- per. Firstly, the basic principle of four TBD algorithms is introduced, which are three dimensional matched filtering （3DMF）, Hough transform（ HT）, dynamic programming（DP） and particle filter（PF）. Then the development on the study of the four TBD algorithms is reviewed. Finally, the trend of TBD algorithms predicted on the basis of analyzing the current TBD algorithms.