Instantaneous Velocity Vector Estimation Using a Single MIMO Radar Via Multi-Bounce Scattering

Nishant Mehrotra, Divyanshu Pandey, Upamanyu Madhow, Yasamin Mostofi, Ashutosh Sabharwal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Multiple-input, multiple-output (MIMO) radars can estimate radial velocities of moving objects, but not their tangential velocities. In this paper, we propose to exploit multi-bounce scattering in the environment to form an effective multi-'look' synthetic aperture and enable estimation of a moving object's entire velocity vector - both tangential and radial velocities. The proposed approach enables instantaneous velocity vector estimation with a single MIMO radar, without additional sensors or assumptions about the object size. The only requirement of our approach is the existence of at least one resolvable multi-bounce path to the object from a static landmark in the environment. The approach is validated both in theory and simulation.

Original languageEnglish (US)
Title of host publication2024 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350308648
DOIs
StatePublished - 2024
Event2024 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2024 - Boulder, United States
Duration: May 20 2024May 23 2024

Publication series

Name2024 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2024

Conference

Conference2024 IEEE Conference on Computational Imaging Using Synthetic Apertures, CISA 2024
Country/TerritoryUnited States
CityBoulder
Period5/20/245/23/24

Keywords

  • MIMO radar
  • Multipath
  • radar imaging
  • velocity measurement

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Instrumentation

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