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Content Provider | IEEE Xplore Digital Library |
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Author | Leung, H. Jiangfeng Wu |
Copyright Year | 1965 |
Abstract | This paper considers the problem of target track identification in a radar surveillance system. To build a target identifier alongside a tracker, four features which are available for real-time processing in an air surveillance system are used here: target identity (TID) from a friend-and-foe identification (IFF) system, elevation measurement from the radar, target speed, and acceleration estimated by a tracker. These four features are combined to classify air targets into five different air target categories: friendly commercial, friendly military, hostile commercial (or unknown airline), hostile military, and false targets (clutter). Two popular statistic-based techniques, namely, the Bayesian and Dempster-Shafer methods, are applied to develop radar target identification algorithms for our application. Real-life as well as simulated air surveillance radar data are used to evaluate the practicality and effectiveness of this track identification approach in a radar surveillance system. |
Starting Page | 432 |
Ending Page | 447 |
Page Count | 16 |
File Size | 370916 |
File Format | |
ISSN | 00189251 |
Volume Number | 36 |
Issue Number | 2 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2000-04-01 |
Publisher Place | U.S.A. |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Bayesian methods Radar tracking Target tracking Surveillance Real time systems Velocity measurement Radar measurements Accelerometers Acceleration Clutter |
Content Type | Text |
Resource Type | Article |
Subject | Aerospace Engineering Electrical and Electronic Engineering |
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