Efficient one-stationary bistatic synthetic aperture radar raw data generation based on Fourier analysis

Yulin Huang; Junjie Wu; Zhongyu Li; Haiguang Yang; Jianyu Yang

doi:10.1117/1.JRS.10.015016

Efficient one-stationary bistatic synthetic aperture radar raw data generation based on Fourier analysis

Yulin Huang
, Junjie Wu
, Zhongyu Li
, Haiguang Yang
, Jianyu Yang

University of Electronic Science and Technology of China

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

1 Scopus citations

Abstract

Raw data generation for synthetic aperture radar (SAR) is very powerful for designing systems and testing imaging algorithms. In this paper, a raw data generation method based on Fourier analysis for one-stationary bistatic SAR is presented. In this mode, two-dimensional (2-D) spatial variation is the major problem faced by the fast Fourier transform-based raw data generation. To deal with this problem, a 2-D linearization followed by a 2-D frequency transformation is employed in this method. This frequency transformation can reflect the 2-D spatial variation. Residual phase compensation is also discussed. Numerical simulation verifies the method.

Original language	English
Article number	015016
Journal	Journal of Applied Remote Sensing
Volume	10
Issue number	1
DOIs	https://doi.org/10.1117/1.JRS.10.015016
State	Published - 1 Jan 2016
Externally published	Yes

Keywords

bistatic synthetic aperture radar
raw data generation
stationary station
synthetic aperture radar
two-dimensional frequency transformation

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10.1117/1.JRS.10.015016

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title = "Efficient one-stationary bistatic synthetic aperture radar raw data generation based on Fourier analysis",

abstract = "Raw data generation for synthetic aperture radar (SAR) is very powerful for designing systems and testing imaging algorithms. In this paper, a raw data generation method based on Fourier analysis for one-stationary bistatic SAR is presented. In this mode, two-dimensional (2-D) spatial variation is the major problem faced by the fast Fourier transform-based raw data generation. To deal with this problem, a 2-D linearization followed by a 2-D frequency transformation is employed in this method. This frequency transformation can reflect the 2-D spatial variation. Residual phase compensation is also discussed. Numerical simulation verifies the method.",

keywords = "bistatic synthetic aperture radar, raw data generation, stationary station, synthetic aperture radar, two-dimensional frequency transformation",

author = "Yulin Huang and Junjie Wu and Zhongyu Li and Haiguang Yang and Jianyu Yang",

note = "Publisher Copyright: {\textcopyright} 2016 Society of Photo-Optical Instrumentation Engineers (SPIE).",

year = "2016",

month = jan,

day = "1",

doi = "10.1117/1.JRS.10.015016",

language = "英语",

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TY - JOUR

T1 - Efficient one-stationary bistatic synthetic aperture radar raw data generation based on Fourier analysis

AU - Huang, Yulin

AU - Wu, Junjie

AU - Li, Zhongyu

AU - Yang, Haiguang

AU - Yang, Jianyu

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Raw data generation for synthetic aperture radar (SAR) is very powerful for designing systems and testing imaging algorithms. In this paper, a raw data generation method based on Fourier analysis for one-stationary bistatic SAR is presented. In this mode, two-dimensional (2-D) spatial variation is the major problem faced by the fast Fourier transform-based raw data generation. To deal with this problem, a 2-D linearization followed by a 2-D frequency transformation is employed in this method. This frequency transformation can reflect the 2-D spatial variation. Residual phase compensation is also discussed. Numerical simulation verifies the method.

AB - Raw data generation for synthetic aperture radar (SAR) is very powerful for designing systems and testing imaging algorithms. In this paper, a raw data generation method based on Fourier analysis for one-stationary bistatic SAR is presented. In this mode, two-dimensional (2-D) spatial variation is the major problem faced by the fast Fourier transform-based raw data generation. To deal with this problem, a 2-D linearization followed by a 2-D frequency transformation is employed in this method. This frequency transformation can reflect the 2-D spatial variation. Residual phase compensation is also discussed. Numerical simulation verifies the method.

KW - bistatic synthetic aperture radar

KW - raw data generation

KW - stationary station

KW - synthetic aperture radar

KW - two-dimensional frequency transformation

UR - https://www.scopus.com/pages/publications/84960171915

U2 - 10.1117/1.JRS.10.015016

DO - 10.1117/1.JRS.10.015016

M3 - 文章

AN - SCOPUS:84960171915

SN - 1931-3195

VL - 10

JO - Journal of Applied Remote Sensing

JF - Journal of Applied Remote Sensing

IS - 1

M1 - 015016

ER -

Efficient one-stationary bistatic synthetic aperture radar raw data generation based on Fourier analysis

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Keywords

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