AN INTELLIGENT ALGORITHM FOR BEARINGS-ONLY MANEUVERING TARGET TRACKING

摘要：

An intelligent target tracking algorithm is developed in this paper.Unlike the traditional MM method with fixed acceleration levels, the acceleration value of each sub-model of MM structure is adjusted adaptively by an economic on-line self-constructing neural fuzzy inference network (SONFIN) according to the changes of extracted feature information, a set of Unscented Kalman Filter (UKF) is then utilized to estimate target state. Numerical simulation results show that the performance of the proposed algorithm is nearly identical to that of the interactive multiple models (IMM), which is known as a best maneuvering target tracking algorithm.Moreover, the proposed algorithm is free of any prior information of target motion.

关键词： Bearings-only Neural fuzzy network Target tracking

作者: BEN-LIAN XU ZHI-QUAN WANG

作者单位: Department of Information and Control Engineering, Changshu Institute of Technology, 215500 Changshu Department of Automation, Nanjing University of Science & Technology, Nanjing 210094, P.R.China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 100-105

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）