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Tangential Velocity Estimation Using Separated Non-Coherent Automotive Radar Array

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

Abstract

Automotive radar is the main sensor enabling autonomous driving and active safety features. It is required to provide high-resolution information on the vehicle’s surroundings, accurately localize obstacles, and estimate their velocity in two dimensions. Conventional automotive radars operating in the far-field regime estimate only the target’s radial velocity and cannot obtain its tangential velocity. However, the near-field propagation conditions allow the tangential radar target velocity estimation. This work leverages our previous identifiability study, where the conditions for the tangential velocity estimation have been stated, and proposes an iterative algorithm for tangential velocity estimation in automotive near-field scenarios using a non-coherent separated sensor array. The performance of the proposed approach is evaluated, and its efficiency and near-field synthetic aperture (NFSA) dependency is demonstrated via simulations.

Original languageEnglish
Title of host publication2025 33rd European Signal Processing Conference, EUSIPCO 2025 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1402-1406
Number of pages5
ISBN (Electronic)9789464593624
DOIs
StatePublished - 1 Jan 2025
Event33rd European Signal Processing Conference, EUSIPCO 2025 - Palermo, Italy
Duration: 8 Sep 202512 Sep 2025

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference33rd European Signal Processing Conference, EUSIPCO 2025
Country/TerritoryItaly
CityPalermo
Period8/09/2512/09/25

Keywords

  • Cramér-Rao bound
  • Tangential velocity estimation
  • automotive radar
  • near-field
  • non-coherent arrays
  • separated array

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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