Target Tracking Algorithm based on Gauss-Hermite Quadrature in Passive Sensor Array

摘要：

In this paper,a new target tracking algorithm based on Gauss-Hermite quadrature is proposed in passive sensor array.Firstly,the quadrature Kalman filter (QKF) that used statistical linear regression (SLR) to linearize a nonlinear function through a set of Gauss-Hermite quadrature points is analyzed for passive target tracking.The performance of the filter is more accurate than the extended Kalman Filter (EKF),the Pseudo Linear Kalman Filter (PLKF) and the unscented Kalman Filter (UKF) in nonlinear dynamic system.Secondly,in order to avoid the unobservability problem of passive target tracking,a nonlinear measurement model of multiple passive sensors is founded,and the algorithm can deal with the case of non-Gaussian noise.Finally,the simulation results show that the proposed algorithm is effective,and its performance is superiority over above methods.

关键词： Nonlinear Gauss-Hermite Quadrature Passive Sensor Array

作者: Run-ze Hao Jing-xiong Huang Liang-qun Li

作者单位: Air Defense Forces Command Academy,Zhengzhou 450052,P.R.China Air Defense Forces Command Academy,Zhengzhou 450052,P.R.China;Shenzhen university,Shenzhen 518060,P. Shenzhen university,Shenzhen 518060,P.R.China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）