Collaborative spectrum allocation and waveform design for radar coexistence

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

1 Scopus citations

Abstract

The emerging problem of automotive radars congestion is addressed in this work. Modern automotive radars handle this problem via randomization of the transmit signal parameters. Alternatively, frequency allocation methods lead to narrow-band radar operation and as a result, reduced range resolution. This work proposes to mitigate the mutual interference between radars, while optimizing the localization performance by collaborative spectrum allocation and waveform design. According to the proposed approach, the transmit energy is allocated across the entire available spectrum by minimization of the Weiss-Weinstein bound. The proposed spectrum allocation approach allows to avoid frequencies occupied by interfering radars and the use of the entire spectrum allows to achieve the maximal possible resolution.

Original languageEnglish
Title of host publication2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020
PublisherIEEE Computer Society
ISBN (Electronic)9781728119465
DOIs
StatePublished - 1 Jun 2020
Event11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020 - Hangzhou, China
Duration: 8 Jun 202011 Jun 2020

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2020-June
ISSN (Electronic)2151-870X

Conference

Conference11th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2020
Country/TerritoryChina
CityHangzhou
Period8/06/2011/06/20

Keywords

  • Radar coexistence
  • Spectrum allocation
  • Waveform design
  • Weiss-Weinstein bound

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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