武器精确制导目标跟踪测量仿真研究

Simulation Research on Target Tracking Measurement of Weapon Precision Guidance

针对当前武器精确制导目标跟踪为移动的非线性、非高斯特点,提出了基于粒子滤波算法的制导信息提取算法。粒子滤波算法是基于贝叶斯估计的非线性滤波算法,首先将目标跟踪信息转化为贝叶斯滤波问题,通过滤波抑制粒子退化和增加粒子的多样性,进而提取更有效的制导信息,提高非线性估计的精度。仿真结果表明,粒子滤波算法具有较好的实时性和鲁棒性,有效实现复杂场景下的且标跟踪。

Guidance Information Extraction based on particle filter is presented to solve the nonlinear and non - Gauss characteristics of the current weapon precision guidance target tracking. Particle filter is a nonlinear filtering algorithm based on Bayesian estimation. Firstly, the target tracking information is transformed into Bayesian filtering, the particle degradation is suppressed and the diversity of particles is increased through filtering, and then more effective guidance information is extracted and the accuracy of nonlinear estimation is improved. Simulation results show that the algorithm has good real - time performance and robustness, and can effectively achieve the target tracking in complex scenes.