NDLI: Data driven underwater transient detection based on time-frequency distributions

Content Provider	IEEE Xplore Digital Library
Author	Oliveira, P.M. Barroso, V.
Copyright Year	2000
Description	Author affiliation: DAE1, Escola Naval, Almada, Portugal (Oliveira, P.M.)
Abstract	The complexity of real-life transients, coupled with the incomplete (or absent) knowledge of their statistical structure or defining features has motivated the interest on the use of blind, data driven detection schemes. One such scheme, proposed by Jones and Sayeed (1995), uses time-frequency distributions to implement sub-optimal quadratic detectors which, under certain conditions, approach the performance of optimal quadratic detectors. However, their use of Fisher's discriminants to obtain class separation has some drawbacks, which we solve by using a simple perceptron to obtain the discriminant. Also, more often than not, we will have a multiclass situation, implying the use of different time-frequency distributions, each one of them tuned for a given class of transients. The different nature of these distributions (bias, type of cross-terms, time-frequency resolution, etc.) will hamper the performance of the algorithm, forcing the need for experimental validation of its heuristical aspects. The algorithm will be applied to real data, and its performance investigated.
Starting Page	1059
Ending Page	1063
File Size	461237
Page Count	5
File Format	PDF
ISBN	0780365518
DOI	10.1109/OCEANS.2000.881741
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-09-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Underwater tracking Time frequency analysis Detectors Signal detection Training data Interference Doppler shift Computational efficiency Signal design Baseband
Content Type	Text
Resource Type	Article

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