A new LFM-signal detector based on fractional Fourier transform

Authors:
Zhiping Yin;Weidong Chen
Affiliations:
Department of Electronic Engineering and Information Science, University of Science and Technology of China, HeFei, AnHui, China;Department of Electronic Engineering and Information Science, University of Science and Technology of China, HeFei, AnHui, China
Venue:
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
Year:
2010

Citing 7
Cited 0

Signal reconstruction from two close fractional Fourier power spectra

IEEE Transactions on Signal Processing
Discrete chirp-Fourier transform and its application to chirp rateestimation

IEEE Transactions on Signal Processing
Discrete fractional Fourier transform based on orthogonalprojections

IEEE Transactions on Signal Processing
Fast computation of the ambiguity function and the Wignerdistribution on arbitrary line segments

IEEE Transactions on Signal Processing
Linear frequency-modulated signal detection using Radon-ambiguitytransform

IEEE Transactions on Signal Processing
Digital computation of the fractional Fourier transform

IEEE Transactions on Signal Processing
Fractional convolution and correlation via operator methods and anapplication to detection of linear FM signals

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new LFM-signal detector formulated by the integration of the 4th-power modulus of the fractional Fourier transform is proposed. It has similar performance to the modulus square detector of Radon-ambiguity transform because of the equivalence relationship between them. But the new detector has much lower computational complexity in the case that the number of the searching angles is far less than the length of the signal. Moreover, it is proved that the new detector can be generalized to the integration of the nth-power (2 ≶ n) modulus of the fractional Fourier transform via mathematical derivation. Computer simulation results have confirmed the effectiveness of the proposed detector in LFM-signal detection.