Robust Detection in Distributed MIMO Radar

Santosh Paudel, Hao Chen, Braham Himed

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

Abstract

We consider the case where there are outliers in the observations and evaluate two robust detectors, namely the Clipped Log-Likelihood Ratio Detector inspired by Huber's ratio test, and a α-Trimmed Sum Detector. The detector's robustness and performance in the presence of outliers are analyzed. We show these detectors provide reasonably good performance despite the presence of outliers in the observations. We also analyze the detectors breakdown points where the detectors can not yield any meaningful results.

Original languageEnglish
Title of host publication2023 IEEE International Radar Conference, RADAR 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665482783
DOIs
StatePublished - 2023
Event2023 IEEE International Radar Conference, RADAR 2023 - Sydney, Australia
Duration: 6 Nov 202310 Nov 2023

Publication series

NameProceedings of the IEEE Radar Conference
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2023 IEEE International Radar Conference, RADAR 2023
Country/TerritoryAustralia
CitySydney
Period6/11/2310/11/23

Keywords

  • Distributed MIMO radar
  • Huber's ratio test
  • Robust detectors
  • α-Trimmed Sum

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