Improved multiple targets angle tracking algorithm using the joint probabilistic data association filter

作     者：Keche, M Woolfson, MS Harrison, I Ouamri, A 

作者机构：Univ Nottingham Dept Elect & Elect Engn Nottingham NG7 2RD England USTO Inst Elect Oran El Mnouer Algeria 

出 版 物：《IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION》 (IEE Proc Radar Sonar Navig)

年 卷 期：1998年第145卷第6期

页      面：331-336页

核心收录：

主　　题：digital filters Monte Carlo methods improved multiple targets angle tracking algorithm direction-of-arrival estimation array signal processing target tracking Digital signal processing multiple moving targets MUSIC algorithm trajectories performance Filtering methods in signal processing joint probabilistic data association filter Monte Carlo simulations power measurements 

摘      要：The joint probabilistic data association filter is used for angle tracking of multiple moving targets. To improve the performance, in terms of data association, this filter uses power measurements, in addition to angle measurements. These measurements are provided by the MUSIC algorithm. The tracking performance of the algorithm is assessed by Monte Carlo simulations using different trajectories.