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Volume 41 Issue 2
Jan.  2019
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Dong LI, Chengxiang ZHANG, Di ZHAO, Xiaoheng TAN, Xichuan ZHOU, Muyang ZHAN. Fast Cross-range Scaling for ISAR Imaging Based on Pseudo Polar Fourier Transform[J]. Journal of Electronics & Information Technology, 2019, 41(2): 262-269. doi: 10.11999/JEIT180299
Citation: Dong LI, Chengxiang ZHANG, Di ZHAO, Xiaoheng TAN, Xichuan ZHOU, Muyang ZHAN. Fast Cross-range Scaling for ISAR Imaging Based on Pseudo Polar Fourier Transform[J]. Journal of Electronics & Information Technology, 2019, 41(2): 262-269. doi: 10.11999/JEIT180299

Fast Cross-range Scaling for ISAR Imaging Based on Pseudo Polar Fourier Transform

doi: 10.11999/JEIT180299
Funds:  The National Natural Science Foundation of China (61501068, 61571069), The Shanghai Aerospace Science and Technology Innovation Fund (SAST2017041), 2017 Director Fund of Key Laboratory of Wireless Broadband Communication and Signal Processing in Guangxi (GXKL06170202), The Chongqing Research Program of Basic Research and Frontier Technology (cstc2018jcyjAX0351)
  • Received Date: 2018-03-30
  • Rev Recd Date: 2018-08-13
  • Available Online: 2018-09-03
  • Publish Date: 2019-02-01
  • For the Inverse Synthetic Aperture Radar (ISAR) imaging, the ISAR image obtained by the Range-Doppler (RD) or time-frequency analysis methods can not display the target's real shape due to its azimuth relating to the target Doppler frequency, thus the cross-range scaling is required for ISAR image. In this paper, a fast cross-range scaling method for ISAR is proposed to estimate the Rotational Angular Velocity (RAV). Firstly, the proposed method utilizes efficient Pseudo Polar Fast Fourier Transform (PPFFT) to transform the rotational motion of two ISAR images from two different instant time into translation in the polar angle direction. Then, a new cost function called integrated correction is defined to obtain the RAV coarse estimation. Finally, the optimal RAV can be estimated using the Bisection method to realize the cross-range scaling. Compared with the available algorithms, the proposed method avoids the problems of precision loss and high computational complexity caused by interpolation operation. The results of computer simulation and real data experiments are provided to demonstrate the validity of the proposed method.

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