为了提高二维机动目标被动跟踪性能,基于粒子滤波(PF)的基本思想,结合目标的先验信息,将速度约束条件加入到跟踪过程中,通过抛弃约束外粒子,并对粒子分布和权值进行调整来提高算法的执行效率。对新算法进行了仿真分析,并与粒子滤波算法进行了仿真对比。结果表明,新算法具有收敛速度快、跟踪精度高的优点。

To improve the poor performance of the maneuvering target tracking. Particle filtering (PF) and velocity constrained particle filtering were introduced to tracking the maneuvering target. According to the prior information, outrange particles were discarded during prediction step, and the distribution and the weight of particles were adjusted. The performance were analyzed by comparison with the PF. Simulation results show that VCPF algorithm can reduce computation burden. Further more, the convergence rate and track accuracy of the algorithm can also be effectively improved.