Compressed sensing approach for fast collision warning radar

Hossein Azodi, Thomas J. Wächter, Uwe Siart, Thomas F. Eibert, Stefan Bonerz

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


A compressed sensing approach is utilized to estimate positions and velocities of moving targets from multi-sensor continuous-wave (CW) radar data. A possible field of application is in the area of collision warning systems. In such cases, either speeds of the targets are high or their distances to the system are short dictate high demands on the processing time. Compressed sensing is seen as a suitable approach to the problem since it operates on sparse data and has the potential to significantly save computing time. In this anti-collision application, only few hazardous targets are assumed which seems to be an adequate condition for compressed sensing. The prototype comprises 4 CW sensors working in the 24 GHz industrial, scientific and medical (ISM) frequency band. Simulated data with ideal point scatterers and a metallic sphere as well as measured data with a sphere are chosen to test the algorithm. Comparisons of the results verify the capability of the proposed method to detect moving targets and to estimate their motion states.

Original languageEnglish
Title of host publication8th German Microwave Conference, GeMiC 2014
ISBN (Electronic)9783800735853
StatePublished - 2019
Event8th German Microwave Conference, GeMiC 2014 - Aachen, Germany
Duration: 10 Mar 201412 Mar 2014

Publication series

Name8th German Microwave Conference, GeMiC 2014


Conference8th German Microwave Conference, GeMiC 2014


  • Collision avoidance radar
  • Compressed sensing
  • Continuous-wave (CW) radar
  • Doppler tracking
  • Radar measurement


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