Automated multi-target tracking with kinematic and non-kinematic information

Bae, S, Kim, D, Yoon, J, Shin, V and Yoon, K 2012, 'Automated multi-target tracking with kinematic and non-kinematic information', IET Radar, Sonar and Navigation, vol. 6, no. 4, pp. 272-281.


Document type: Journal Article
Collection: Journal Articles

Title Automated multi-target tracking with kinematic and non-kinematic information
Author(s) Bae, S
Kim, D
Yoon, J
Shin, V
Yoon, K
Year 2012
Journal name IET Radar, Sonar and Navigation
Volume number 6
Issue number 4
Start page 272
End page 281
Total pages 10
Publisher The Institution of Engineering and Technology
Abstract The authors address an automated multi-target tracking (MTT) problem. In particular, our study is focused on robust data association considering an additional feature and the reliable track management by avoiding track duplications. As the additional feature, the amplitude information is combined with position measurements to improve the performance of the data association so as to effectively distinguish target-originated measurements from clutters. Because of its form of signal-to-noise ratio (SNR), which is often fluctuated according to targets' aspect and effective radar cross section, the usage of the amplitude information is not straightforward. To reduce the certain level of uncertainty of the SNR, the authors propose the SNR estimation algorithm. Moreover, the authors avoid the track duplication problem to achieve the reliability of track maintenance. Specifically, the authors solve the problem by exploiting well-known mean shift algorithm to merge duplications into appropriate clusters. Simulation results demonstrate the effectiveness and high estimation accuracy of the proposed MTT filter compared to existing methods.
Subject Signal Processing
DOI - identifier 10.1049/iet-rsn.2011.0154
Copyright notice © 2012 The Institution of Engineering and Technology.
ISSN 1751-8784
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