Maneuvering Target Tracking based on ANFIS and UKF

摘要：

A maneuvering target tracking algorithm is proposed to overcome the defects of poor filtering precision while using unscented Kalman filter (UKF). The method combines the merits of UKF and adaptive neuro-fuzzy inference system (ANFIS). ANFIS is used to adjust system noise covariance matrix in target tracking system. Fuzzy inference, neural networks and UKF are integrated effectively. The proposed method is applied to the simulation of radar target tracking. The simulation results show that the proposed method has advantages in higher precision, faster convergence, and stronger ability to track maneuvering targets.

作者: Anfu ZHU Zhanrong JING Weijun CHEN Yan YANG Anxue ZHANG

作者单位: School of Electronic and Information, Northwestern Polytechnical University School of Electronic and Information Engineering, Xian Jiaotong University

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 904-908

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）