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zuoxg88(金币+5):谢谢。请问ISTP检索号不是一个数字吗？怎么还有字母？ 2010-02-21 16:51
An Improved Target Tracking Data Association Algorithm
作者: Zuo XG (Zuo Xiangang)1, Yu Z (Yu Zhou)1
编者: Yang YX
来源出版物: PROCEEDINGS OF 2009 CONFERENCE ON COMMUNICATION FACULTY 页: 476-480 出版年: 2009
被引频次: 0 参考文献: 6 引证关系图
会议信息: Conference on Communication Faculty
Nanning, PEOPLES R CHINA, SEP 18-20, 2009
摘要: For the Joint Probabilistic Data Association (JPDA), which complexity is outstandingly increased with increased targets and measurements. To reduce the expense of memory and the time for JPDA, a new improved JPDA algorithm was introduced for data association. Firstly, in this new method, removing the small probability events by selecting the right threshold values of the targeting gate; secondly, fade the probability density of association events according to the association probability of the targets in the targeting gate, after that compute the association probability of the targets. The theory analysis and computer simulation show that this algorithm can keep the rate of success of the target tracking with low CPU computing time.
文献类型: Proceedings Paper
语言: Chinese
作者关键词: target tracking; association probability; joint probabilistic data association; Monte Carlo
通讯作者地址: Zuo, XG (通讯作者), Henan Inst Sci & Technol, Dept Informat Engn, Xinxiang, Peoples R China
地址:
1. Henan Inst Sci & Technol, Dept Informat Engn, Xinxiang, Peoples R China
出版商: SCI RES PUBL, INC-SRP, 5005 PASEO SEGOVIA, IRVIN, CA 92603-3334 USA
IDS 号: BNC91
ISBN: 978-1-935068-06-8 |
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