基于简化野草粒子滤波的纯距离定位算法

Range-Only Target Location Algorithm Based on Simplified Invasive Weed Particle Filter

针对入侵式野草优化粒子滤波算法(IWOPF)在纯距离目标定位与跟踪应用中计算量较大的问题,提出了一种简化野草粒子滤波算法(SIWOPF)。该算法简化了有效粒子数的选取方法,省略了IWOPF中需要通过最大种群数目控制粒子数量的步骤,且在每次迭代选取有效粒子时优先选取适应度值较高的粒子,因而在提高算法的运算速率的同时进一步提高了算法的估计精度。仿真结果表明,新算法适用于纯距离系统,且算法性能优于粒子滤波算法(PF)、IWOPF算法。

Since the Invasive Weed Particle Filter（IWOPF）has the problem of large amounted of calculation in range-only target location and tracking,an Simplified Invasive Weed Particle Filter（SIWOPF）is proposed. The new algorithm simplifies the selection method of the number of effective particles,the procedure of control the number of effective particles by the maximum number of population is omitted. And every time iterated,the higher value of fitness particle is chosen,so operating speeds and precision of the algorithm are both improved. The simulation results indicate that the SIWOPF can be used in range-only system,and has better performance than Particle Filter（PF）、IWOPF.