A new chirp scaling algorithm based on the fractional Fourier transform

被引：35

作者：

Amein, AS ^{[1
]}

Soraghan, JJ ^{[1
]}

机构：

[1] Univ Strathclyde, Dept Elect & Elect Engn, ICSP, Glasgow G67 4BB, Lanark, Scotland

来源：

IEEE SIGNAL PROCESSING LETTERS | 2005年 / 12卷 / 10期

关键词：

chirp; fractional; high resolution; synthetic aperture radar (SAR);

D O I：

10.1109/LSP.2005.855547

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 [电气工程]; 0809 [电子科学与技术];

摘要：

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.

引用

页码：705 / 708

页数：4

共 19 条

[1]

THE FRACTIONAL FOURIER-TRANSFORM AND TIME-FREQUENCY REPRESENTATIONS [J].