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	星载并轨双基地合成孔径雷达Chirp Scaling成像的方位向Fourier变换
	李枫 ; 李树 ; 赵亦工 ; LI Feng ; LI Shu ; ZHAO Yi-Gong
	2010-05-12 ; 2010-05-12
关键词	合成孔径雷达 双基地 Chirp Scaling算法 方位傅里叶变换 方位向频谱 点目标谱 并轨 synthetic aperture radar(SAR) bistatic Chirp Scaling algorithm azimuth Fourier transform azimuth spectrum point target spectrum parallel track TN958
其他题名	Azimuth Fourier Transform of Bistatic Chirp Scaling Algorithm for Parallel Track Bistatic Synthetic Aperture Radar
中文摘要	利用距离向和方位向变换相对独立的特点,提出一种处理双基地二维点目标谱的新方法.根据双基地距离模型的近似表达式和精确表达式,在波数域中,分别得到距离向和具有闭合形式的方位向频谱.引入一种Taylor级数展开式,将双基地二维点目标谱展开为距离向频率的幂级数,然后使用驻定相位原理处理距离向逆Fourier变换.在Range-Doppler域中,对信号表达式中的距离向时间作因式分解,构造出双基地Chirp Scaling算法的等效调频斜率和弯曲因子.仿真结果表明,所推导出的二维点目标谱具有较高的近似精度;所构造的并轨双基地Chirp Scaling算法具有较好的成像性能.; A new method was presented to process a 2-dimensional bistatic point target spectrum,based on the relative independence between the transforms of range and azimuth.The range spectrum can be obtained with the approximate representation of bistatic range model in a wavenumber domain.The closed-form azimuth spectrum can be achieved with the exact one.By introduction of a Taylor series development,the 2-dimensional spectrum can be expanded into power series in terms of range frequency.So that the range inverse Fourier transform can be done with the principle of stationary phase.In the range-Doppler domain,the signal is made factoring in range time.As a result,the effective FM rate and curvature factor of bistatic Chirp Scaling algorithm can be defined.The simulations indicate that the 2-dimensional bistatic point target spectrum calculated in this paper is a rational approximation.And the parallel-track bistatic Chirp Scaling algorithm derived from the spectrum can focus bistatic SAR data better.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/28098]
专题	清华大学
推荐引用方式 GB/T 7714	李枫,李树,赵亦工,等. 星载并轨双基地合成孔径雷达Chirp Scaling成像的方位向Fourier变换[J],2010, 2010.
APA	李枫,李树,赵亦工,LI Feng,LI Shu,&ZHAO Yi-Gong.(2010).星载并轨双基地合成孔径雷达Chirp Scaling成像的方位向Fourier变换..
MLA	李枫,et al."星载并轨双基地合成孔径雷达Chirp Scaling成像的方位向Fourier变换".(2010).

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