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闪烁噪声下目标跟踪的改进粒子滤波算法
引用本文:刘望生,李亚安.闪烁噪声下目标跟踪的改进粒子滤波算法[J].兵工学报,2011,32(1):91-95.
作者姓名:刘望生  李亚安
作者单位:(西北工业大学 航海学院, 陕西 西安 710072)
基金项目:陕西省留学回国人员科研基金,陕西省自然科学基金
摘    要:针对目标跟踪系统具有强非线性非高斯的特点,提出了一种强跟踪粒子滤波(STUPF)算法.该算法将无迹卡尔曼滤波器(UKF)与强跟踪滤波器(STF)相结合作为粒子滤波提议分布,具有在线调节滤波增益阵,提高滤波器跟踪突变状态的能力.在给出闪烁噪声统计模型的基础上,将STUPF应用在几种典型目标运动模型跟踪系统中,并同UKF和...

关 键 词:自动控制技术  目标跟踪  粒子滤波  强跟踪滤波  闪烁噪声

Target Tracking Based on Modified Particle Filter Algorithm in Glint Noise Environment
LIU Wang-sheng,LI Ya-an.Target Tracking Based on Modified Particle Filter Algorithm in Glint Noise Environment[J].Acta Armamentarii,2011,32(1):91-95.
Authors:LIU Wang-sheng  LI Ya-an
Affiliation:(College of Marine, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China)
Abstract:Due to strong nonlinear and non-Gaussian nature of the target tracking system,a strong tracking particle filter(STUPF) algorithm is presented.The algorithm adopts a new proposal distribution combining the unscented Kalman filter(UKF) with the strong tracking filter(STF),the filter gain matrix can be adjusted on line according to the change of innovation,and the ability of tracking saltatory state is improved.The STUPF is applied to track several kinds of typical target moving model tracking systems based on...
Keywords:automatic control technology  target tracking  particle filter  strong tracking filter  glint noise  
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