Applications of matching Fourier transform to radar refined imaging

Yang Wang; Jianwen Chen; Zhong Liu

doi:10.1117/12.538676

25 September 2003 Applications of matching Fourier transform to radar refined imaging

Yang Wang, Jianwen Chen, Zhong Liu

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538676
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Yang Wang, Jianwen Chen, and Zhong Liu "Applications of matching Fourier transform to radar refined imaging", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538676

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KEYWORDS

Doppler effect

Fourier transforms

Radar

Time-frequency analysis

Radar imaging

Signal to noise ratio

Detection and tracking algorithms

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