The parameters that affect the chirp signal in the optimum fractional Fourier domain are described The performance enhancement by using the matched filter in
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[PDF] The Fundamentals of FFT-Based Signal Analysis and Measurement
Refer to the Signal Sources for Frequency Response Measurement section for more information about Chirp signals and broadband noise signals Cross Power
Chirp signal detection using FFT peak frequency - IEEE Xplore
Because the existence of chirp signals is determined by FFT peak frequency difference rather than peak amplitude, the proposed method's detection threshold is independent of the input signal's power range Additionally, because multiple FFT frames are used, the resulting receiver can achieve a higher sensitivity
[PDF] Chirp images in 2-D fractional Fourier transform domain
20 juil 2016 · Fractional Fourier transform (FRFT) ○ The continuous-time FRFT of the 1-D chirp signal is shown as: is rotation angle in the time-frequency
[PDF] Fast Discrete Chirp Fourier Transforms For Radar Signal Detection
A DCFT can be thought of as the discrete Fourier transform(DFT) of a signal which has being multiplied by a chirp signal and, hence, being shifted in the spectral
[PDF] The discrete linear chirp transform and its applications - CORE
7 mar 2013 · The DFT can be implemented in a very efficient way using the fast Fourier transform (FFT) algorithm However, many actual signals by their nature
[PDF] THE FAST FOURIER TRANSFORM FOR EXPERIMENTALISTS
Fourier transform (FFT) doesn't ade- quately express the changing nature of the signal's frequency content In this analysis of a bat chirp, I first examine how the
[PDF] Radar Matched Filtering using the Fractional Fourier Transform
The parameters that affect the chirp signal in the optimum fractional Fourier domain are described The performance enhancement by using the matched filter in
[PDF] Fourier Transforms of Finite Chirps - University of Missouri
Transform (DFT) of a finite chirp, and was a subject of great interest in the mid- nineteenth century This connection between modern signal processing and
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