Range migrating target detection in correlated compound-Gaussian clutter

Nikita Petrov, Francois le Chevalier, Nikola Bogdanovic, Alexander Yarovoy

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)
43 Downloads (Pure)

Abstract

The problem of range-migrating target detection in a compound-Gaussian clutter is studied here. We assume a target to have a range-walk of a few range cells during the coherent processing interval, when observed by wideband radar with high range resolution. Two CFAR detectors are proposed assuming different correlation properties of clutter over range. The detectors' performance is studied via numerical simulations and a significant improvement over existing techniques is demonstrated.
Original languageEnglish
Title of host publication25th European Signal Processing Conference, EUSIPCO 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages2216-2220
Number of pages5
ISBN (Electronic)978-0-9928626-7-1
DOIs
Publication statusPublished - 2017
EventEUSIPCO 2017: 25th European Signal Processing Conference - Kos Island, Greece
Duration: 28 Aug 20172 Sept 2017
Conference number: 25
https://www.eusipco2017.org/

Conference

ConferenceEUSIPCO 2017
Abbreviated titleEUSIPCO
Country/TerritoryGreece
CityKos Island
Period28/08/172/09/17
Internet address

Bibliographical note

Accepted author manuscript

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