Moving and stationary target detection scheme using coherent integration and subtraction for automotive FMCW radar systems

Eugin Hyun, Young Seok Jin, Jong Hun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

39 Scopus citations

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 languageEnglish
Title of host publication2017 IEEE Radar Conference, RadarConf 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages476-481
Number of pages6
ISBN (Electronic)9781467388238
DOIs
StatePublished - 7 Jun 2017
Event2017 IEEE Radar Conference, RadarConf 2017 - Seattle, United States
Duration: 8 May 201712 May 2017

Publication series

Name2017 IEEE Radar Conference, RadarConf 2017

Conference

Conference2017 IEEE Radar Conference, RadarConf 2017
Country/TerritoryUnited States
CitySeattle
Period8/05/1712/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • FMCW radar
  • Signal processing
  • Surveillance Radar
  • Target detection
  • Track management

Fingerprint

Dive into the research topics of 'Moving and stationary target detection scheme using coherent integration and subtraction for automotive FMCW radar systems'. Together they form a unique fingerprint.

Cite this