A novel parametric SAR autofocus method

Jia Xu; Yingning Peng; Liping Zhang; Yin Lin; Xianggen Xia

A novel parametric SAR autofocus method

Jia Xu^*
, Yingning Peng
, Liping Zhang
, Yin Lin
, Xianggen Xia

^*Corresponding author for this work

Tsinghua University
University of Delaware

Research output: Contribution to conference › Paper › peer-review

Abstract

In synthetic aperture radar (SAR), low scene-contrast may invalidate most of existing autofocus methods, and the limited autofocus performance is also difficult to be verified. Based on a parametric statistical signal model in the coherent processing interval (CPI) of SAR, a novel SAR autofocus method is developed and it is especially applicable to extremely low-contrast scene. Furthermore, the limitation of CPI length and the Cramér-Rao low bound of autofocus parameter estimation are all analytically obtained. Finally, real measurement data is also exploited to validate the proposed model and the new method.

Original language	English
Pages	50-52
Number of pages	3
Publication status	Published - 2004
Externally published	Yes
Event	Proceedings of the IEEE Radar Conference - Philadelphia, PA, United States Duration: 26 Apr 2004 → 29 Apr 2004

Conference

Conference	Proceedings of the IEEE Radar Conference
Country/Territory	United States
City	Philadelphia, PA
Period	26/04/04 → 29/04/04

Keywords

Coherent processing interval
Cramer-Rao bound
Low scene-contrast
Parametric autofocus
Synthetic aperture radar

Cite this

@conference{a6fe094f153a4c6c9805e8487a1f3830,

title = "A novel parametric SAR autofocus method",

abstract = "In synthetic aperture radar (SAR), low scene-contrast may invalidate most of existing autofocus methods, and the limited autofocus performance is also difficult to be verified. Based on a parametric statistical signal model in the coherent processing interval (CPI) of SAR, a novel SAR autofocus method is developed and it is especially applicable to extremely low-contrast scene. Furthermore, the limitation of CPI length and the Cram{\'e}r-Rao low bound of autofocus parameter estimation are all analytically obtained. Finally, real measurement data is also exploited to validate the proposed model and the new method.",

keywords = "Coherent processing interval, Cramer-Rao bound, Low scene-contrast, Parametric autofocus, Synthetic aperture radar",

author = "Jia Xu and Yingning Peng and Liping Zhang and Yin Lin and Xianggen Xia",

year = "2004",

language = "English",

pages = "50--52",

note = "Proceedings of the IEEE Radar Conference ; Conference date: 26-04-2004 Through 29-04-2004",

}

TY - CONF

T1 - A novel parametric SAR autofocus method

AU - Xu, Jia

AU - Peng, Yingning

AU - Zhang, Liping

AU - Lin, Yin

AU - Xia, Xianggen

PY - 2004

Y1 - 2004

N2 - In synthetic aperture radar (SAR), low scene-contrast may invalidate most of existing autofocus methods, and the limited autofocus performance is also difficult to be verified. Based on a parametric statistical signal model in the coherent processing interval (CPI) of SAR, a novel SAR autofocus method is developed and it is especially applicable to extremely low-contrast scene. Furthermore, the limitation of CPI length and the Cramér-Rao low bound of autofocus parameter estimation are all analytically obtained. Finally, real measurement data is also exploited to validate the proposed model and the new method.

AB - In synthetic aperture radar (SAR), low scene-contrast may invalidate most of existing autofocus methods, and the limited autofocus performance is also difficult to be verified. Based on a parametric statistical signal model in the coherent processing interval (CPI) of SAR, a novel SAR autofocus method is developed and it is especially applicable to extremely low-contrast scene. Furthermore, the limitation of CPI length and the Cramér-Rao low bound of autofocus parameter estimation are all analytically obtained. Finally, real measurement data is also exploited to validate the proposed model and the new method.

KW - Coherent processing interval

KW - Cramer-Rao bound

KW - Low scene-contrast

KW - Parametric autofocus

KW - Synthetic aperture radar

UR - https://www.scopus.com/pages/publications/4544310637

M3 - Paper

AN - SCOPUS:4544310637

SP - 50

EP - 52

T2 - Proceedings of the IEEE Radar Conference

Y2 - 26 April 2004 through 29 April 2004

ER -

A novel parametric SAR autofocus method

Abstract

Conference

Keywords

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