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A new chirp scaling algorithm based on the fractional Fourier transform

机译:基于分数阶傅里叶变换的新线性调频缩放算法

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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.
机译:分数阶傅立叶变换(FrFT)是众所周知的傅立叶变换的一种广义形式,但直到最近才开始出现在信号处理领域。这开辟了一系列新的潜在有希望和有用的应用的可能性。在这封信中,我们开发了一种新的基于FrFT的线性调频缩放算法(CSA),并将其性能与基于快速傅立叶变换(FFT)的经典CSA进行比较。仿真结果表明,与基于FFT的经典方法相比,基于FrFT的CSA可以提供显着增强的功能。

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