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Proceedings Paper

Applications of matching Fourier transform to radar refined imaging
Author(s): Yang Wang; Jianwen Chen; Zhong Liu
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Paper Abstract

Due to the complex motion of a target, the Doppler frequency shifts are time-varying. Therefore, the inverse synthetic aperture radar (ISAR) image is blurred by using the Fourier analysis for Doppler processing. To resolve the image blurring problem, a parametric method which combines the matching Fourier transform with the CLEAN technique is presented to retrieve Doppler information. For comparison, a time-frequency transform, named reassigned Gabor spectrogram, is also applied to the time-varying spectral analysis. Simulation results show that the suggested method is robust to small data size and low signal-to-noise ratio.

Paper Details

Date Published: 25 September 2003
PDF: 5 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538676
Show Author Affiliations
Yang Wang, Nanjing Univ. of Science and Technology (China)
Nanjing Research Institute of Electronics Technology (China)
Jianwen Chen, Nanjing Research Institute of Electronics Technology (China)
Zhong Liu, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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