Interacting Multiple Models Algorithm with Wavelet-Based Unknown Measurement Noise Estimation

摘要：

A new maneuvering target interacting multiple models tracking algorithm under unknown measurement noise covariance condition is presented based on the interacting multiple models tracking algorithm of the constant velocity and “currentstatistical model (IMM-CVCS). In this paper, the effects of the inaccuracy of the measurement noise covariance on the IMM-CVCS algorithm performance are first analyzed. The feature of the wavelet transform separating a noise signal into the signal and noise parts in real time is combined into IMM-CVCS algorithm.The algorithm adapted the real time change of the measurement noise covariance, at the same time keep tracking availably the constant velocity and the maneuvering target.It is strongly robus, and suit for maneuvering target tracking in the data fusion system of multi-plats and multi-sensors. The simulation results verify the effectiveness of the proposed method.

关键词： maneuvering target tracking measurement noise wavelet interacting multiple models algorithm “current statistical model

作者: NIE Xiaohua

作者单位: Jiangsu Automatic Research Institute, lianyungang 222006 ,China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1491-1496

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）