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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.
Due to the Doppler blind spot and other factors, airborne pulsed Doppler radar may intermittently measure the target, and the blind priori knowledge into the particle filter system can handle such intermittent measurement.In view of this, through the establishment of aircraft carrier The relative motion model between platform and target is analyzed, and the target detectable condition of airborne radar is analyzed, and an improved particle filter algorithm is proposed based on it.The relative maneuver detection is used to determine whether the target enters the dead zone or not, Area, keeping track of the target.The simulation results show the effectiveness and feasibility of the method.