Ad-hoc network DOA tracking via sequential Monte Carlo filtering

作     者：GUO Li GUO Yan LIN Jia-ru LI Ning 

作者机构：Key Laboratory of Information Processing and Intelligent Technology BeijingUniversity of Posts and Telecommunications Beijing 100876 China Institute of Science PLA University of Science and TechnologyNanjing 210007 China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2007年第14卷第1期

页      面：12-15页

核心收录：

学科分类：07[理学] 08[工学] 070104[理学-应用数学] 081101[工学-控制理论与控制工程] 0701[理学-数学] 0811[工学-控制科学与工程] 

基　　金：国家自然科学基金 

主　　题：Bayesian inference Ad-hoc network DOA tracking,SMC 

摘      要：A novel sequential Monte Carlo （SMC） algorithm is provided for the multiple maneuvering Ad-hoc network terminals direction of arrival （DOA） tracking. A nonlinear mobility and observation model is adopted, which can describe the motion features of the Ad-hoc network terminal more practically. The algorithm does not need any additional measurement equipment. Simulation result shows its significant tracking accuracy.