Elliptic Gaussian filtering for Time-Frequency signal analysis

Author

Gulum, T.O. ; Erdogan, A.Y. ; Durak-Ata, L. ; Yildirim, T. ; Pace, P.E.

Author_Institution

Dept. of Eln. & Comms. Eng., Yildiz Tech. Univ., Davutpasa, Turkey

fYear

2013

fDate

April 29 2013-May 3 2013

Firstpage

1

Lastpage

5

Abstract

Increased use of low probability of intercept (LPI) waveforms in current radar systems, enforces the use of sophisticated hardware and signal processing algorithms in intercept receiver technology. In this study, an adaptive filtering technique based on elliptic Gaussian filter is proposed to be used by intercept receivers. The filter is implemented on Wigner-Ville Distribution (WVD) images of different intercepted LPI radar waveforms to de-noise the image in order to help the Electronic Support operators in the signal analysis effort. The slope of the LFM waveforms, thus the filter´s, can be determined by using Hough Transform, Radon Transform or any other method.

Keywords

Hough transforms; Radon transforms; filtering theory; image denoising; radar imaging; receivers; time-frequency analysis; Hough transform; LFM waveforms; LPI radar waveforms; Radon transform; WVD image; Wigner-Ville distribution images; adaptive filtering technique; electronic support operators; elliptic Gaussian filtering; image denoising; intercept receiver technology; intercept receivers; low probability of intercept; radar systems; signal analysis; signal processing algorithms; time-frequency signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference (RADAR), 2013 IEEE

Conference_Location

Ottawa, ON

ISSN

1097-5659

Print_ISBN

978-1-4673-5792-0

Type

conf

DOI

10.1109/RADAR.2013.6585973

Filename

6585973