Abstract
In this paper, we proposed an automotive radar signal processing scheme for target detection, tracking, and classification. The target detection part consists of range-processing, moving target indication using the coherent phase difference method, Doppler-processing, digital beam forming, and hit decisions to determine the moving target and strong stationary targets. To delete ghost targets and compensate for missing targets, we design the target tracking stage to include clustering, data association, track management, and a track filter. Finally, the target classification stage selects the range-, velocity-, and angle-ROIs (Regions Of Interest) based on the output from the target track aspect, and analyzes the 3D profiles extracted during the target detection stage. In the experimental results, we verify the proposed radar signal processing scheme using a 24 GHz FMCW transceiver with a single antenna.
Original language | English |
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Title of host publication | 2017 IEEE Radar Conference, RadarConf 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 476-481 |
Number of pages | 6 |
ISBN (Electronic) | 9781467388238 |
DOIs | |
State | Published - 7 Jun 2017 |
Event | 2017 IEEE Radar Conference, RadarConf 2017 - Seattle, United States Duration: 8 May 2017 → 12 May 2017 |
Publication series
Name | 2017 IEEE Radar Conference, RadarConf 2017 |
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Conference
Conference | 2017 IEEE Radar Conference, RadarConf 2017 |
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Country/Territory | United States |
City | Seattle |
Period | 8/05/17 → 12/05/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- FMCW radar
- Signal processing
- Surveillance Radar
- Target detection
- Track management