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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Manyi Tao Yong Li |
| Copyright Year | 2009 |
| Description | Author affiliation: College of Information Science and Technology, Nanjing Univ. of Aeronautics and Astronautics No.29 Yudao Street, Nanjing, 210016, China (Manyi Tao; Yong Li) |
| Abstract | As a wireless sensor, the traffic detection radar (TDR) is recently a new application at civilian areas. The system can provide various types of real-time information about the moving entities day-and-night in all weather conditions. However, the price to realize the accurate information extraction from the echo signals is an efficient mathematic algorithm. In this paper, the date acquisition model of the TDR based on ISAR principle is firstly established. Then, the velocity measurement and length estimation algorithm using the minimum entropy criterion is presented. The experimental results of a prototype radar system are given to demonstrate the validity of the proposed methodology. |
| Starting Page | 705 |
| Ending Page | 708 |
| File Size | 102364 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424427314 |
| DOI | 10.1109/APSAR.2009.5374108 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parameter estimation Extraterrestrial measurements Entropy Radar applications Data mining Intelligent sensors Information extraction algorithm Traffic detection radar (TDR) Radar measurements Radar detection Doppler parameter estimation Inverse synthetic aperture radar (ISAR) Doppler radar Velocity measurement |
| Content Type | Text |
| Resource Type | Article |
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