Scattering function approach for modeling time-varying sea clutter returns

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

3 Scopus citations

Abstract

Historically radar returns from the sea surface have generally been modeled in one of two ways-either a) a quasi-deterministic fashion using electromagnetic scattering theory combined with a random realization of physical sea surface based on insights from hydrodynamics or b) using a statistical model of the amplitude envelope based on assumptions about the distribution of scatterers within a resolution cell visible from a given observation angle. However, these models usually suffer from either excessive computational and/or conceptual complexity or have highly restrictive regimes of applicability. In this work we present an alternative characterization of sea clutter returns utilizing statistical linear time-varying system theory in an attempt to provide a more general model that works in a wider variety of circumstances while retaining a competitively low computational burden. It is hoped that the compactness of this mathematical representation will facilitate more rapid development of effective clutter mitigation techniques in the future.

Original languageEnglish
Title of host publication2018 IEEE Radar Conference, RadarConf 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages298-303
Number of pages6
ISBN (Electronic)9781538641675
DOIs
StatePublished - Jun 8 2018
Externally publishedYes
Event2018 IEEE Radar Conference, RadarConf 2018 - Oklahoma City, United States
Duration: Apr 23 2018Apr 27 2018

Publication series

Name2018 IEEE Radar Conference, RadarConf 2018

Conference

Conference2018 IEEE Radar Conference, RadarConf 2018
Country/TerritoryUnited States
CityOklahoma City
Period04/23/1804/27/18

Funding

This work was supported by the U.S. Naval Research Laboratory. 1 C. D. Cooke is with Applied Technology, Inc., King George, VA 22485, email: [email protected].

FundersFunder number
U.S. Naval Research Laboratory

    Keywords

    • Radar signal processing
    • airborne radar
    • radar clutter
    • stochastic systems
    • time-varying systems

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