Title :
Application of the momentary Fourier transform to SIFFT SAR processing
Author :
Albrecht, Sandor ; Cumming, Ian
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
Abstract :
This paper considers a case of radar processing which requires highly-overlapped inverse DFTs. This case arises in burst-mode synthetic aperture radar (SAR), where the time-varying spectral properties of the received data requires that IDFTs be located at specific points in the spectral domain. The inverse moving Fourier transform is introduced, and it is shown how it can be more efficient than the FFT in this radar application
Keywords :
discrete Fourier transforms; inverse problems; radar applications; radar imaging; synthetic aperture radar; SIFFT SAR processing; burst-mode synthetic aperture radar; highly-overlapped inverse DFT; image quality; inverse moving Fourier transform; momentary Fourier transform; radar application; radar imaging; radar processing; spectral domain; time-varying spectral properties; Application software; Bandwidth; Convolution; Discrete Fourier transforms; Fourier transforms; Frequency; Image segmentation; Matched filters; Radar applications; Synthetic aperture radar;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-7803-5073-1
DOI :
10.1109/TFSA.1998.721475
