A new chirp scaling algorithm based on the fractional Fourier transform

A. Amein, J.J. Soraghan

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

The fractional Fourier transform (FrFT), which is a generalized form of the well-known Fourier transform, has only recently started to appear in the field of signal processing. This has opened up the possibility of a new range of potentially promising and useful applications. In this letter, we develop a new FrFT-based chirp scaling algorithm (CSA) and compare its performance with the classical CSA based on the fast Fourier transform (FFT). Simulation results show that the FrFT-based CSA can offer significantly enhanced features compared to the classical FFT-based approach.
LanguageEnglish
Pages705-708
Number of pages3
JournalIEEE Signal Processing Letters
Volume12
Issue number10
DOIs
Publication statusPublished - 2005

Fingerprint

Fractional Fourier Transform
Chirp
Fourier transforms
Scaling
Fast Fourier transform
Fast Fourier transforms
Signal Processing
Fourier transform
Signal processing
Range of data
Simulation

Keywords

  • Fourier transforms
  • radar resolution
  • signal processing
  • synthetic aperture radar
  • control systems

Cite this

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A new chirp scaling algorithm based on the fractional Fourier transform. / Amein, A.; Soraghan, J.J.

In: IEEE Signal Processing Letters, Vol. 12, No. 10, 2005, p. 705-708.

Research output: Contribution to journalArticle

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AU - Soraghan, J.J.

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