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高脉冲重复频率(HPRF)雷达目标跟踪需要解决距离模糊问题。本文通过把脉冲间隔数和脉冲间隔变化量作为目标的离散状态,目标的距离和径向速度作为目标的连续状态,将HPRF雷达的跟踪和解距离模糊问题转换为贝叶斯框架下的混合估计问题并且利用粒子滤波方法实现。仿真结果表明本文方法在脉冲间隔数变化时仍可以正确地解距离模糊,并且跟踪精度比多假设方法高。
High pulse repetition frequency (HPRF) radar target tracking needs to solve the problem of distance blurring. In this paper, the tracking and ambiguity resolution of HPRF radar are converted to the hybrid estimation problem under the Bayesian framework by taking the discrete number of pulse interval and pulse interval variation as the target discrete state, the target distance and radial velocity as the target continuous state. And use the particle filter method to achieve. The simulation results show that the method in this paper can still correctly resolve the ambiguity when the number of pulse intervals varies, and the tracking accuracy is higher than the multi-assumption method.