Title
A modified Eckart post-beamformer filter for improved detection using broadband features
Abstract
The problem of signal detection using passive sonar signal processing methods to extract features is addressed. We propose a modified Eckart post-beamformer filter to obtain better estimates of the signal and in particular the broadband component of the signal. The physical processes motivating the study are broadband features which are usually ignored in conventional narrowband detection and classification processors. Broadband features can arise from various sources like transients, propulsion mechanisms, cavitation, and hydrodynamic flow and are often present even in the absence of narrowband features. We separate the narrowband and broadband components of the signal and extract the broadband features from the noise normalized signal components which has high energy and a wide frequency extent compared to the center frequency. Preliminary results suggest that broadband based detection and classification performance outperforms methods that use only narrowband features.
Year
DOI
Venue
1996
10.1109/ICASSP.1996.550518
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference
Keywords
Field
DocType
acoustic signal detection,feature extraction,filtering theory,sonar signal processing,broadband based classification,broadband based detection,broadband features,broadband signal component,cavitation,center frequency,hydrodynamic flow,modified Eckart postbeamformer filter,narrowband classification processors,narrowband detection,narrowband signal components,noise normalized signal components,passive sonar signal processing,propulsion mechanisms,signal detection,signal estimates,transients
Normalization (statistics),Detection theory,Computer science,Broadband,Artificial intelligence,Center frequency,Narrowband,Pattern recognition,Signal-to-noise ratio,Feature extraction,Speech recognition,Acoustics,Sonar signal processing
Conference
Volume
ISSN
ISBN
6
1520-6149
0-7803-3192-3
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Mehta, S.K.100.34
Fay, J.200.34
Maciejewski, P.300.34