A new wavelet-based algorithm for filtering low SRN signals

Author

Marcianesi, Andrea ; Scaletti, Silvio ; Speciale, Nicolò

Author_Institution

Dept. of Electron., Bologna Univ., Italy

fYear

2001

fDate

2001

Firstpage

549

Lastpage

558

Abstract

In this work we present a new algorithm suitable for detecting and filtering radar or sonar pulses in presence of strong noise, jamming signals and Doppler frequency shift in the received signal. The novel algorithm is based on the multiresolution wavelet analysis, a powerful tool right to analyze non stationary signals. We exploit the Wavelet-based time-frequency domain analysis to detect and reconstruct radar or sonar pulses, obtaining very good matching between transmitted and received signals up to a signal-to-noise level of -11 dB

Keywords

Doppler shift; frequency-domain analysis; jamming; noise; radar signal processing; sonar signal processing; wavelet transforms; Doppler frequency shift; Wavelet-based time-frequency domain analysis; jamming signals; low SRN signals filtering; multiresolution wavelet analysis; radar pulses; signal-to-noise level; sonar pulses; wavelet-based algorithm; Algorithm design and analysis; Doppler radar; Filtering algorithms; Frequency; Jamming; Radar detection; Signal analysis; Signal resolution; Sonar detection; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks for Signal Processing XI, 2001. Proceedings of the 2001 IEEE Signal Processing Society Workshop

Conference_Location

North Falmouth, MA

ISSN

1089-3555

Print_ISBN

0-7803-7196-8

Type

conf

DOI

10.1109/NNSP.2001.943159

Filename

943159