Adaptive Detection of Range Migrating Target in non-Gaussian Clutter

Nikita Petrov, Francois le Chevalier, Alexander Yarovoy

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

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Abstract

Adaptive detection of fast moving targets by means of high range resolution radar is considered. It is assumed that a fast-moving target of interest has a few range cells migration during the coherent processing interval and the clutter power fluctuates rapidly along the range. Therefore, the target competes with the clutter responses in a few adjacent range cells, modeled by Compound-Gaussian process. The adaptive CFAR detector of range-migrating targets is designed and it is complemented by the algorithm for covariance matrix estimation from the reference data. The generalized approach for detection of range-extended migrating targets is provided. The performance of the proposed detectors is evaluated via numerical simulations, showing valuable improvement over the conventional techniques.
Original languageEnglish
Title of host publication2019 International Radar Conference, RADAR 2019
Number of pages6
ISBN (Electronic)978-1-7281-2660-9
DOIs
Publication statusPublished - 2019
Event2019 International Radar Conference - Toulon, France
Duration: 23 Sep 201927 Sep 2019
https://www.radar2019.org/

Publication series

Name2019 International Radar Conference, RADAR 2019

Conference

Conference2019 International Radar Conference
Abbreviated titleRadar-2019
CountryFrance
CityToulon
Period23/09/1927/09/19
Internet address

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