Narrowband signal detection in a reverberation-limited environment

Author

Aineto, Manuel ; Lawson, Stuart

Author_Institution

Dept. of Eng., Warwick Univ., Coventry, UK

Volume

1

fYear

1997

fDate

6-9 Oct 1997

Firstpage

27

Abstract

Experimental work with three different adaptive processors has been carried out in order to study the problem of signal detection in a reverberation-limited environment. Single-channel real data as well as synthetic data have been used for the reverberation signals. Synthetic echoes and synthetic stepped FM pulses are regarded as the contact signals to be detected. Simulation results using an adaptive notch filter (ANF), an adaptive noise canceller (ANC) with its weights being adapted by means of the least-mean square (LMS) algorithm, and an ANC in the form of a least-squares lattice (LSL) filter, are presented. It is shown how the ANC, by means of the LSL, is capable of recovering even zero-Doppler echoes under certain signal conditions

Keywords

acoustic filters; acoustic noise; acoustic signal detection; adaptive filters; adaptive signal detection; digital filters; interference suppression; lattice filters; least mean squares methods; notch filters; reverberation; sonar signal processing; ANC; ANF; LMS algorithm; LSL filter; adaptive noise canceller; adaptive notch filter; adaptive processors; contact signals; least-mean square algorithm; least-squares lattice filter; narrowband signal detection; reverberation-limited environment; single-channel real data; synthetic data; synthetic echoes; synthetic stepped FM pulses; zero-Doppler echoes; Acoustic noise; Adaptive filters; Additive noise; Bandwidth; Frequency; Narrowband; Reverberation; Signal detection; Signal generators; Sonar;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS '97. MTS/IEEE Conference Proceedings

Conference_Location

Halifax, NS

Print_ISBN

0-7803-4108-2

Type

conf

DOI

10.1109/OCEANS.1997.634330

Filename

634330