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Fusion of time-frequency distributions and applications to radar signals

[+] Author Affiliations
George A. Lampropoulos

A.U.G. Signals Ltd., 73 Richmond Street West, Suite 103, Toronto, Ontario, Canada M5H 4E8

Thayananthan Thayaparan

Defence Research & Development Canada (DRDC), Ottowa, 3701 Carling Avenue, Ottawa, Ontario, Canada K1A 0Z4

Ning Xie

A.U.G. Signals Ltd., 73 Richmond Street West, Suite 103, Toronto, Ontario, Canada M5H 4E8

J. Electron. Imaging. 15(2), 023007 (May 09, 2006). doi:10.1117/1.2199858
History: Received January 18, 2005; Revised December 05, 2005; Accepted December 30, 2005; Published May 09, 2006
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We describe a new fusion method for time-frequency distribution (TFD) that increases the ability to detect and classify time-varying signals while suppressing signal-dependent artifacts and noise. This is achieved by applying a least-squares algorithm to estimate the second-order approximation Volterra series coefficients of the outputs of selected TFDs. These coefficients are used for the fusion of the selected TFDs and generate a new TFD. The proposed fusion method is compared with four other fusion methods in terms of resolution and signal-to-noise ratio (SNR) in the time-frequency (TF) plane. Five representative TFDs are fused to generate a new TFD and their performances are analyzed. The results show that the new fusion method considerably increases sharpness (resolution) and strength (SNR) of the signal in the TF plane and, furthermore, achieves better signal description over other fusion methods and the traditional TFDs.

© 2006 SPIE and IS&T

Citation

George A. Lampropoulos ; Thayananthan Thayaparan and Ning Xie
"Fusion of time-frequency distributions and applications to radar signals", J. Electron. Imaging. 15(2), 023007 (May 09, 2006). ; http://dx.doi.org/10.1117/1.2199858


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