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2012-06-17

Processing One-Stationary Bistatic SAR Data Using Inverse Scaled Fourier Transform

By Junjie Wu, Zhongyu Li, Yulin Huang, Qing Huo Liu, and Jianyu Yang
Progress In Electromagnetics Research, Vol. 129, 143-159, 2012
doi:10.2528/PIER12021506

Abstract

In bistatic synthetic aperture radar (SAR) with one stationary station, two-dimensional spatial variance is a major problem which should be handled. In this paper, an Inverse Scaled Fourier Transform (ISFT) imaging algorithm to deal with this problem is proposed. The approach linearizes the two-dimensional spatiallyvariant point target reference spectrum to derive the reflectivity pattern's spectrum. Based on this spectrum, an ISFT along range direction and a frequency shift along azimuth direction are used to achieve the two-dimensional spatial variance correction. This method is efficient as it only uses phase multiplication and FFTs. Numerical simulations verified the effectiveness of the method.

Citation


Junjie Wu, Zhongyu Li, Yulin Huang, Qing Huo Liu, and Jianyu Yang, "Processing One-Stationary Bistatic SAR Data Using Inverse Scaled Fourier Transform," Progress In Electromagnetics Research, Vol. 129, 143-159, 2012.
doi:10.2528/PIER12021506
http://jpier.org/PIER/pier.php?paper=12021506

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