DocumentCode
3433206
Title
A Fast Algorithm for Fractional Fourier Transform with Zooming-in Ability
Author
Xinghao Zhao ; Ran Tao ; Yue Wang
Author_Institution
Dept. Electron. Eng., Beijing Inst. of Technol., Beijing
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
In this paper, we present a novel algorithm for FRFT with zooming-in ability, which is preferable to previous algorithms because it can freely choose computational resolution and zoom in on any interested portion of the fractional spectra, meanwhile, retains the advantage of the Ozaktas algorithm in computational speed. Its advantages in scrutinizing the fine structure of the partial spectra and improving estimation accuracy of chirp central frequency are illustrated by an application example.
Keywords
Fourier transforms; signal processing; Ozaktas algorithm; computational resolution; computational speed; fractional Fourier transform; fractional speatra; Chirp; Computational complexity; Fourier transforms; Frequency estimation; Radar applications; Radar signal processing; Radio access networks; Signal analysis; Signal processing; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.461
Filename
4678370
Link To Document