Volume 20, Issue 3 (JIAEEE Vol.20 No.3 2023)                   Journal of Iranian Association of Electrical and Electronics Engineers 2023, 20(3): 11-20 | Back to browse issues page

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Mokhtari A, Qadery A, Taheri M. Weighted Average Consensus-Based Distributed Target Tracking over Radar Networks. Journal of Iranian Association of Electrical and Electronics Engineers 2023; 20 (3) :11-20
URL: http://jiaeee.com/article-1-1375-en.html
Weighted Average Consensus-Based Distributed Target Tracking over Radar Networks
Abolfazl Mokhtari * , Alireza Qadery , Mehrdad Taheri
Imam ALi University
Abstract:   (822 Views)
In this paper, the problem of distributed high-dimensional nonlinear target tracking over radar networks is investigated. Since radar performances are different in range and measurement functions, utilizing radar networks, data fusion, and data processing increase the accuracy of tracking. Among all data fusion methods for radar networks, distributed manner gains the most reliability and less computation burden with high tracking accuracy. First, nonlinear radar measurements are processed by a local cubature Kalman filter in each agent. Secondly, all processed data over all agents reach an agreement by utilizing a weighted average consensus filter. The proposed algorithm using the consensus on information method decreases the tracking error and computation burden and guarantees the boundedness for any number of consensus steps. Finally, the efficiency of the proposed algorithm and superiority to traditional methods is demonstrated by performing a numerical simulation of tracking a maneuvering target.
 
Keywords: Consensus algorithm, distributed systems, radar networks, target tracking
Full-Text [PDF 1214 kb]   (619 Downloads)    
Type of Article: Research | Subject: Control
Received: 2021/09/15 | Accepted: 2023/02/14 | Published: 2023/05/24
Extended Abstract [PDF 221 KB]  (12 Download)
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