几种弹载主被动雷达角度融合跟踪算法比较研究

Comparative Research on Angle Fusion Tracking Algorithms for Missile-borne Active and Passive Radars

构架了一种弹载主被动雷达融合角度跟踪系统,可以利用主被动雷达的不同特点,多方位获取目标的属性信息,改进对目标的检测和识别能力[1]。比较了并行滤波、序贯滤波和数据压缩滤波三种融合跟踪算法,并通过建立的大机动目标运动模型,验证了融合跟踪滤波性能,给出了几种算法的应用方向。

An angle fusion tracking system of missile-borne active and passive radar is constructed,which can acquire attri⁃bute information of target in many directions by using different characteristics of active and passive radar,and the detection and rec⁃ognition ability of target are improved.Three fusion tracking algorithms are compared,including parallel filtering,sequential filter⁃ing and data compression filtering.The performance of fusion tracking filtering by the motion model of large maneuvering target is verified,the application directions of the three algorithms are given.