Scattering function approach for modeling time-varying sea clutter returns

Corey D. Cooke

doi:10.1109/RADAR.2018.8378574

Scattering function approach for modeling time-varying sea clutter returns

Corey D. Cooke

RF and Intelligent Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 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 language	English
Title of host publication	2018 IEEE Radar Conference, RadarConf 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	298-303
Number of pages	6
ISBN (Electronic)	9781538641675
DOIs	https://doi.org/10.1109/RADAR.2018.8378574
State	Published - Jun 8 2018
Event	2018 IEEE Radar Conference, RadarConf 2018 - Oklahoma City, United States Duration: Apr 23 2018 → Apr 27 2018

Publication series

Name	2018 IEEE Radar Conference, RadarConf 2018

Conference

Conference	2018 IEEE Radar Conference, RadarConf 2018
Country/Territory	United States
City	Oklahoma City
Period	04/23/18 → 04/27/18

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].

Keywords

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

Access to Document

10.1109/RADAR.2018.8378574

Cite this

@inproceedings{7ce7a7f01caa40a5b7e98e8e24731091,

title = "Scattering function approach for modeling time-varying sea clutter returns",

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.",

keywords = "Radar signal processing, airborne radar, radar clutter, stochastic systems, time-varying systems",

author = "Cooke, \{Corey D.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Radar Conference, RadarConf 2018 ; Conference date: 23-04-2018 Through 27-04-2018",

year = "2018",

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doi = "10.1109/RADAR.2018.8378574",

language = "English",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Cooke, CD 2018, Scattering function approach for modeling time-varying sea clutter returns. in 2018 IEEE Radar Conference, RadarConf 2018. 2018 IEEE Radar Conference, RadarConf 2018, Institute of Electrical and Electronics Engineers Inc., pp. 298-303, 2018 IEEE Radar Conference, RadarConf 2018, Oklahoma City, United States, 04/23/18. https://doi.org/10.1109/RADAR.2018.8378574

TY - GEN

T1 - Scattering function approach for modeling time-varying sea clutter returns

AU - Cooke, Corey D.

PY - 2018/6/8

Y1 - 2018/6/8

N2 - 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.

AB - 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.

KW - Radar signal processing

KW - airborne radar

KW - radar clutter

KW - stochastic systems

KW - time-varying systems

UR - https://www.scopus.com/pages/publications/85049979884

U2 - 10.1109/RADAR.2018.8378574

DO - 10.1109/RADAR.2018.8378574

M3 - Conference contribution

AN - SCOPUS:85049979884

T3 - 2018 IEEE Radar Conference, RadarConf 2018

SP - 298

EP - 303

BT - 2018 IEEE Radar Conference, RadarConf 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Radar Conference, RadarConf 2018

Y2 - 23 April 2018 through 27 April 2018

ER -

Scattering function approach for modeling time-varying sea clutter returns

Abstract

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Keywords

Access to Document

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