Research of Likely Model Set With System Noise Fuzzy Adaptation Algorithm

摘要：

In maneuvering target tracking, since targets maneuvering capability has greatly increased, it is more difficult to describe and found the targets movement model. Now, variable structure multiple model (VSMM) algorithm is an effective method for strong maneuvering target tracking. Based on fuzzy control theory, it is proposed that a likely model set with system noise fuzzy adaptation (FNA-LMS) algorithm using two-dimensional fuzzy controller. The system noise of each model in VSMM algorithm is adjusted by self adaptation. Monte Carlo simulation comparison shows that FNA-LMS algorithm has better performance in tracking accuracy and computing efficiency than basic likely model set algorithm. Also it is convenient for application.

关键词： Maneuvering Target variable structure multiple model algorithm Likely Model Set Algorithm System Noise Fuzzy Control

作者: LIU Gao-feng CHEN Jia-jun LU Xiao-lin GU Xue-feng

作者单位: Department of Command Automation, Naval University of engineering WuHan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 185-188

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）