A New Particle Filter for Nonlinear Tracking Problems

作     者：李延秋 沈毅 刘志言 LI Yan-qiu;SHEN Yi;LIU Zhi-yan

作者机构：Dept. of Control Science and Engineering Harbin Institute of TechnologyHarbin 150001 China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2004年第17卷第3期

页      面：170-175页

核心收录：

学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：particle filters nonlinear/non-Gaussian model maneuvering target tracking smoothing technique 

摘      要：A new particle filter is presented for nonlinear tracking problems. Inpractice, maneuvering target-tracking systems are usually nonlinear and incompletely observed, andthe main difficulty of maneuvering target-tracking problem lies in the fact that the maneuverabilityat every step is of high uncertainties. Here a new smoothing particle filter algorithm is proposed,which combines the particle filter to tackle the non-linear and non-Gaussian peculiarities of theproblem, together with smoothing of the PDF of system modes and thus settles the estimate problem ofthe target maneuverability. The simulation comparison with the auxiliary particle filters showsthat the approach has superiority and yields performance improvements in solving nonlinear trackingproblems.