Doppler distributed clutter model of airborne radar and its parameters estimation

Jia Xu; Yingning Peng; Qun Wan; Xiutan Wang; Xianggen Xia

doi:10.1360/03yf0095

Doppler distributed clutter model of airborne radar and its parameters estimation

Jia Xu^*, Yingning Peng, Qun Wan, Xiutan Wang, Xianggen Xia

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

To characterize the clutter spectrum center-shift and spread of airborne radar caused by the platform motion, a novel Doppler Distributed Clutter (DDC) model is proposed to describe the clutter covariance matrix in temporal domain. Based on this parametric model, maximum likelihood, subspace based method and other super-resolution methods are introduced into the Doppler parameters estimation, and more excellent performance is obtained than with the conventional approaches in frequency domain. The theoretical derivation and real experimental results are also provided to validate this novel model and methods of parameter estimating. Copyright by Science in China Press 2004.

Original language	English
Pages (from-to)	577-586
Number of pages	10
Journal	Science in China, Series F: Information Sciences
Volume	47
Issue number	5
DOIs	https://doi.org/10.1360/03yf0095
Publication status	Published - Oct 2004
Externally published	Yes

Keywords

Airborne radar
Doppler distributed clutter (DDC) model
Doppler parameter estimation
Maximum likelihood (ML)
Weighted subspace fitting (WSF)

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10.1360/03yf0095

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title = "Doppler distributed clutter model of airborne radar and its parameters estimation",

abstract = "To characterize the clutter spectrum center-shift and spread of airborne radar caused by the platform motion, a novel Doppler Distributed Clutter (DDC) model is proposed to describe the clutter covariance matrix in temporal domain. Based on this parametric model, maximum likelihood, subspace based method and other super-resolution methods are introduced into the Doppler parameters estimation, and more excellent performance is obtained than with the conventional approaches in frequency domain. The theoretical derivation and real experimental results are also provided to validate this novel model and methods of parameter estimating. Copyright by Science in China Press 2004.",

keywords = "Airborne radar, Doppler distributed clutter (DDC) model, Doppler parameter estimation, Maximum likelihood (ML), Weighted subspace fitting (WSF)",

author = "Jia Xu and Yingning Peng and Qun Wan and Xiutan Wang and Xianggen Xia",

year = "2004",

month = oct,

doi = "10.1360/03yf0095",

language = "English",

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pages = "577--586",

journal = "Science in China, Series F: Information Sciences",

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TY - JOUR

T1 - Doppler distributed clutter model of airborne radar and its parameters estimation

AU - Xu, Jia

AU - Peng, Yingning

AU - Wan, Qun

AU - Wang, Xiutan

AU - Xia, Xianggen

PY - 2004/10

Y1 - 2004/10

N2 - To characterize the clutter spectrum center-shift and spread of airborne radar caused by the platform motion, a novel Doppler Distributed Clutter (DDC) model is proposed to describe the clutter covariance matrix in temporal domain. Based on this parametric model, maximum likelihood, subspace based method and other super-resolution methods are introduced into the Doppler parameters estimation, and more excellent performance is obtained than with the conventional approaches in frequency domain. The theoretical derivation and real experimental results are also provided to validate this novel model and methods of parameter estimating. Copyright by Science in China Press 2004.

AB - To characterize the clutter spectrum center-shift and spread of airborne radar caused by the platform motion, a novel Doppler Distributed Clutter (DDC) model is proposed to describe the clutter covariance matrix in temporal domain. Based on this parametric model, maximum likelihood, subspace based method and other super-resolution methods are introduced into the Doppler parameters estimation, and more excellent performance is obtained than with the conventional approaches in frequency domain. The theoretical derivation and real experimental results are also provided to validate this novel model and methods of parameter estimating. Copyright by Science in China Press 2004.

KW - Airborne radar

KW - Doppler distributed clutter (DDC) model

KW - Doppler parameter estimation

KW - Maximum likelihood (ML)

KW - Weighted subspace fitting (WSF)

UR - http://www.scopus.com/inward/record.url?scp=9944232225&partnerID=8YFLogxK

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DO - 10.1360/03yf0095

M3 - Article

AN - SCOPUS:9944232225

SN - 1009-2757

VL - 47

SP - 577

EP - 586

JO - Science in China, Series F: Information Sciences

JF - Science in China, Series F: Information Sciences

IS - 5

ER -

Doppler distributed clutter model of airborne radar and its parameters estimation

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Keywords

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