运动平台下的相对机动检测断续量测粒子滤波  

Particle filtering algorithm based on relative maneuver detection with discontinuous measurements on moving platform

作　　者：高岚[1] 江晶[1] 蓝江桥[1] 

机构地区：[1]空军雷达学院4系,武汉430019

出　　处：《控制与决策》2012年第8期1216-1220,共5页Control and Decision

基　　金：国防"十一五"预研基金项目(51307020204);空军武器装备项目(KJ2010198)

摘　　要：由于多普勒盲区等因素,机载脉冲多普勒雷达对目标的量测可能出现断续,将盲区先验知识纳入粒子滤波体系能够处理此类断续量测.鉴于此,通过建立载机平台与目标间相对运动模型,分析机载雷达目标可检测条件,并据此提出一种改进的粒子滤波算法.该算法利用相对机动检测判断目标是否进入盲区,由盲区粒子预测目标可能重新出现的区域,保持对目标的跟踪.仿真结果表明了该方法的有效性和可行性.In airborne radar target tracking, the particle filter is one of the available tools to deal with the track breakages due to the blind Doppler. By modeling the relative movement between the platform and the target, and deducing the condition when the blind Doppler happenes, an improved particle filtering algorithm is proposed. With the maneuver detection, the algorithm can judge when the target is going to be in the blind Doppler zone. The target can be tracked uninterrupted by predicting the reappearance area of the target with the particles of blind. The simulation result shows the effectiveness and the feasibility of the algorithm.

关 键 词：目标跟踪 粒子滤波 机动检测 断续量测 多普勒盲区 

分 类 号：TN953[电子电信—信号与信息处理]