Volume 12, Issue 4 (Journal of Control, V.12, N.4 Winter 2019)                   JoC 2019, 12(4): 15-22 | Back to browse issues page


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Hosseini S N, Haeri M, Khaloozadeh H. Joint State Estimation and System Classification Using Particle Filtering and Interacting Multiple-Model for Maneuvering Target Tracking. JoC. 2019; 12 (4) :15-22
URL: http://joc.kntu.ac.ir/article-1-515-en.html
1- Scince and research Branch, Azad U
2- Sharif U. of T.
3- KNTU University
Abstract:   (1185 Views)
In this paper, the problem of joint tracking and system calcification for a maneuvering target has been investigated. The system classification could improve performance of a tracking algorithm in a majority of applications. For instance, it is very crucial to determine the class of target in caring systems like air traffic control, marine care, and air defense at any time. In contrast to the existing solutions, which consider a separate filter for each class, we propose a single particle filter to estimate the class of target leading to a considerable reduction in computation complexity. Simulation results show that the proposed algorithm can estimate the class of target efficiently
Full-Text [PDF 639 kb]   (415 Downloads)    
Type of Article: Research paper | Subject: Special
Received: 2017/08/11 | Accepted: 2018/07/7 | Published: 2019/05/4

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