Super-resolution Algorithms for Joint Range-Azimuth-Doppler Estimation in Automotive Radars

Yalin Gürcan, Alexander Yarovoy

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)

Abstract

The problem of localization of targets and determining their velocities by means of radar is formulated as a joint estimation problem over single, three-dimensional domain. Joint estimation algorithms remove problems with data association and allow to exploit relations between individual estimation problems. To exploit wide bandwidth of the sensing signals, a new signal
model is formulated based on time-dependant steering vectors for wideband automotive LFMCW radar applications. Joint three dimensional range-azimuth-Doppler estimation is performed using MUSIC approach based on the proposed signal model. The signal model is further improved based on investigation of inter-pulse Doppler effects on the radar array. Results of proposed model are compared to narrow-band MUSIC based joint estimation
approach.
Original languageEnglish
Title of host publicationProceedings of the 14th European Radar Conference
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages73-76
Number of pages4
ISBN (Electronic)978-2-87487-049-1
DOIs
Publication statusPublished - 2017
Event14th European Radar Conference, EuRAD 2017 - Nuremberg, Germany
Duration: 11 Oct 201713 Oct 2017
http://www.eumweek.com/conferences/eurad.html

Conference

Conference14th European Radar Conference, EuRAD 2017
Abbreviated titleEuRAD-2017
CountryGermany
CityNuremberg
Period11/10/1713/10/17
Internet address

Keywords

  • Estimation
  • Radar
  • Azimuth
  • Direction-of-arrival estimation
  • Multiple signal classification
  • Covariance matrices
  • Signal to noise ratio

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