Cognitive CFAR Parameter Optimization for Detection in Sea Clutter

Ellis Humphreys*, Michail Antoniou, Chris J. Baker, Phil Clark

*Corresponding author for this work

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

Abstract

The performance of a proposed Cognitive Radar detection method is investigated and compared again conventional CFAR detection for the case of detection of small targets in simulated Sea Clutter. The proposed method attempts to compare the local clutter statistics with the overall recent statistics and use this knowledge, coupled with existing external knowledge of CFAR performance in sea clutter, to optimally set CFAR window length. A gain in minimal SCR for a specific detection rate was observed for a range of simulated sea clutter conditions, which could then be utilized to either reduce false alarm rate for a specific detection rate, or to maintain false alarm rate and increase detection rate (as compared to a conventional detector).

Original languageEnglish
Title of host publicationInternational Conference on Radar Systems (RADAR 2022)
PublisherInstitution of Engineering and Technology (IET)
Pages148-153
Number of pages6
Volume2022
Edition17
ISBN (Electronic)9781839537776
DOIs
Publication statusPublished - 7 Feb 2023
Event2022 International Conference on Radar Systems, RADAR 2022 - Edinburgh, Virtual, United Kingdom
Duration: 24 Oct 202227 Oct 2022

Conference

Conference2022 International Conference on Radar Systems, RADAR 2022
Country/TerritoryUnited Kingdom
CityEdinburgh, Virtual
Period24/10/2227/10/22

Bibliographical note

Publisher Copyright:
© 2022 IET Conference Proceedings. All rights reserved.

Keywords

  • CFAR DETECTION
  • COGNITIVE RADAR
  • SEA CLUTTER

ASJC Scopus subject areas

  • General Engineering

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