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One-Stationary Processing Algorithms

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Bistatic SAR System and Signal Processing Technology

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Abstract

The one-stationary bistatic configuration is an important type of hybrid bistatic SAR system. Bistatic systems with one stationary platform, transmitter, or receiver are of great value to remote sensing applications, as they allow small and lightweight unmanned aerial vehicles (UAVs) to produce bistatic images. Taking these advantages into account, it is very important to develop an efficient and accurate imaging algorithm for a one-stationary bistatic SAR system. Many algorithms, including frequency- and time-domain imaging algorithms, have been proposed and validated by real data. In this chapter, four focusing algorithms for one-stationary bistatic SAR data are presented. The first algorithm is a one-stationary range-Doppler algorithm; the imaging results of the real data acquired by airborne/stationary platforms testify to its effectiveness. The second algorithm is a modified NLCS algorithm, which could be taken as an integrative solution for space-borne/stationary BiSAR imaging. The processing stages and applicable conditions are shown in very great detail, and then a new, fast BP algorithm for BiSAR is proposed. The derivation of this algorithm is given and the imaging results of real data from the L and X bands are also presented to validate the low computation cost and high focusing quality. Finally, a modified bistatic PFA using a two-dimensional (2D) FGG NuFFT, described in detail, is proposed. From the obtained bistatic and monostatic SAR images, the different presentations of the same scene, due to the different imaging geometry and scattering mechanisms, is highlighted.

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Authors and Affiliations

  1. Department of Space Microwave Remote Sensing System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China

    Robert Wang & Yunkai Deng

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  1. Robert Wang
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  2. Yunkai Deng
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Correspondence to Robert Wang .

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Wang, R., Deng, Y. (2018). One-Stationary Processing Algorithms. In: Bistatic SAR System and Signal Processing Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-3078-9_6

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  • DOI: https://doi.org/10.1007/978-981-10-3078-9_6

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  • Print ISBN: 978-981-10-3077-2

  • Online ISBN: 978-981-10-3078-9

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