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Processing the Azimuth-Variant Bistatic SAR Data by Using Monostatic Imaging Algorithms Based on Two-Dimensional Principle of Stationary Phase

机译:基于平稳相位二维原理的单静态成像算法处理方位变双基地SAR数据

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摘要

This paper presents a new bistatic point target reference spectrum. It is derived by using the 2-D principle of stationary phase which is first applied in the synthetic aperture radar (SAR) community. The spectrum contains two hyperbolic range-azimuth coupling terms and thus is very similar to the monostatic spectrum. It shows the characteristic of the conventional monostatic SAR besides an additional azimuth scaling term. Therefore, it makes the common Doppler-based monostatic processing algorithms readily suitable to handle the Bistatic SAR (BiSAR) data in the moderate-squint azimuth-variant configurations with two moving platforms. Based on the spectrum, two Doppler-based monostatic imaging algorithms [i.e., range–Doppler algorithm (RDA) and chirp-scaling algorithm (CSA)] are readily implemented to deal with the moderate-squint azimuth-variant BiSAR data. Compared to the processing procedure for the monostatic SAR, the RDA and CSA for the BiSAR need only the adjustment of Doppler parameters. Finally, the potential and limitation of the spectrum are analyzed, and the real raw data in the spaceborne/airborne configurations are used to validate the proposed spectrum and processing methods.
机译:本文提出了一种新的双基地点目标参考光谱。它是通过使用固定相的二维原理得出的,该原理首先应用于合成孔径雷达(SAR)社区。该频谱包含两个双曲线范围-方位角耦合项,因此与单静态频谱非常相似。除了附加的方位角换算项,它还显示了常规单基地SAR的特性。因此,这使得基于多普勒的常见单基地处理算法易于适用于在具有两个移动平台的中斜视方位角变量配置中处理双基地SAR(BiSAR)数据。根据频谱,可以轻松实现两种基于多普勒的单基地成像算法[即距离多普勒算法(RDA)和线性调频缩放算法(CSA)],以处理中等斜视方位角变化的BiSAR数据。与单基地SAR的处理程序相比,BiSAR的RDA和CSA仅需要调整多普勒参数。最后,分析了频谱的潜力和局限性,并使用星空/机载配置中的实际原始数据来验证所提出的频谱和处理方法。

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