Fast and Accurate Range-Doppler Estimation in Multi-Target Wideband Automotive FMCW Radar

Ali Moussa, Wei Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

This paper studies the application of wideband frequency-modulated continuous-wave (FMCW) radar where the received signals are sampled first before processing. It is shown that sampling at a rate of the same order as the transmitted signal bandwidth and reducing the processed fast-Time interval, helps resolve the effect of some unwanted artifacts accompanied with increasing the bandwidth and the target's radial velocity. A signal model is first developed to capture range and velocity parameters, and upper bounds are then defined on the bandwidth that separate the wideband scenario from the narrowband one; finally a novel two-stage multiple signal classification (MUSIC) based algorithm is proposed and simulation results are provided to demonstrate its performance.

Original languageEnglish
Title of host publication2020 International Conference on UK-China Emerging Technologies, UCET 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194882
DOIs
Publication statusPublished - Sept 2020
Event2020 International Conference on UK-China Emerging Technologies, UCET 2020 - Glasgow, United Kingdom
Duration: 20 Aug 202021 Aug 2020

Publication series

Name2020 International Conference on UK-China Emerging Technologies, UCET 2020

Conference

Conference2020 International Conference on UK-China Emerging Technologies, UCET 2020
Country/TerritoryUnited Kingdom
CityGlasgow
Period20/08/2021/08/20

Keywords

  • FMCW radar
  • MUSIC
  • range-Doppler.

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems and Management
  • Engineering (miscellaneous)

Fingerprint

Dive into the research topics of 'Fast and Accurate Range-Doppler Estimation in Multi-Target Wideband Automotive FMCW Radar'. Together they form a unique fingerprint.

Cite this