Detection of Nonlinear Frequency Modulated Signal Based on Fractional Fourier Transform

Article Preview

Abstract:

Based on fractional Fourier transformation (FRFT), the feature of the signals which vary smoothly from time domain to frequency domain is given. The FRFT method is applied to the estimation and detection of nonlinear frequency modulated signals to which piecewise linearly approach. Wigner-Ville time frequency distribution of the signals is used after approaching and the masking results of the original signal accumulate energy as detecting statistic. A signal detector based on energy accumulation from time frequency domain in the angle of analysis of both time and frequency is proposed. Finally, a comparison with traditional non-coherent energy accumulation methods is made, which shows the proposed method has superior performance.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4042-4045

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] McBride A C, Kerr F H. On Namias' fractional Fourier Transform [J]. IMA J Appl Math, 1987, 39: 159-175.

DOI: 10.1093/imamat/39.2.159

Google Scholar

[2] Ozaktas H. M, Kutay M. A, Bozdagi G. Digital computation of the fractional Fourier transform [J]. IEEE Transactions on Signal Processing. 1996, 44(9): 2141-2150.

DOI: 10.1109/78.536672

Google Scholar

[3] Chris Capus, Keith Brown. Short-time Fractional Fourier Methods for the Time-frequency Representation of Chirp Signals[J]. Acoustical society of America, 2003, 113(6): 3253-3263.

DOI: 10.1121/1.1570434

Google Scholar

[4] Qi L, Tao R, Zhou S Y, et al. Detection and parameter estimation of multi-component LFM signal based on the fractional Fourier transform [J]. Science in China, Ser F, 2004, 47(2): 184-198.

DOI: 10.1360/02yf0456

Google Scholar