一种新的可控粒子数无源定位滤波算法研究  

Study on an New Particle-controlled Passive Location Filter Algorithm

作　　者：周桃云[1] 梁平元[1] 张怡[2] 

机构地区：[1]湖南人文科技学院,湖南娄底417000 [2]西北工业大学,西安710072

出　　处：《弹箭与制导学报》2015年第3期157-161,共5页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：国家自然科学基金(61173018);湖南省教育厅自然科学项目(13C435);娄底市科技计划项目;湖南省重点学科建设项目资助

摘　　要：在非高斯非线性的无源定位系统中,建立了一种基于相位差变化率的无源定位模型,提出了一种新的可控粒子数无源定位滤波(PCPLF)算法,该算法利用噪声均方差与有效粒子数之间的关系,通过自适应调节噪声均方差,将有效粒子数控制在一定的阀值范围内,使权值基本上服从均匀分布,能够避免粒子的严重退化,提高系统的定位精度及稳定性。最后通过计算机仿真验证了PCPLF算法能够有效提高定位精度及稳定性。A new passive location measure model based on phase difference change rate was constructed and a new particle-controlled pas- sive location filter algorithm was proposed in non-Gaussian nonlinear passive location system, the basic idea of which is controlling the number of effective particles in certain range through adaptive regulation noise variance, using the noise variance relationship between effective number of particles. Then the weight satisfies uniform distribution, and it can overcome degradation of particles effectively. Finally, simulation results show that PCPLF can effectively improve positioning accuracy and stability.

关 键 词：单站无源定位 相位差变化率 有效粒子数 粒子滤波 可控粒子数 无源定位滤波算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]