@inproceedings{8d74061f5c1344f880240e78b900c03d,
title = "Joint target tracking and recognition using MTI and ESM sensors",
abstract = "In tracking closely-spaced targets, the kinematic information is inadequate to resolve the ambiguity of measure-to-track correspondence, which often leads to track coalescence or mistake association. In this paper, we propose a Fusion Tracking framework to a joint target tracking and recognition problem based on MTI and ESM. According to the time sequence of each sensor measurement, the corresponding point-track association module is carried out. Furthermore, the attribute fusion is performed using the Dempster-Shafer rule of combination and the reliability was also considered. Simulation results demonstrate that a joint framework outperforms the traditional single sensor strategy in terms of both recognition and tracking performances.",
keywords = "ESM, Fusion, Joint tracking and recognition, MTI",
author = "Liuqing Yang and Zuomei Lai and Zhentao Liu and Yan Liang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 CIE International Conference on Radar, RADAR 2016 ; Conference date: 10-10-2016 Through 13-10-2016",
year = "2017",
month = oct,
day = "4",
doi = "10.1109/RADAR.2016.8059262",
language = "英语",
series = "2016 CIE International Conference on Radar, RADAR 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 CIE International Conference on Radar, RADAR 2016",
}