NDLI: Class-modular multi-layer perceptron networks for supporting passive sonar signal classification

Content Provider	IET Digital Library
Author	Filho, João B. O. Souza Seixas, José Manoel de
Abstract	The automatic classification of passive sonar signals in real time is an extremely useful tool for supporting sonar operators decision making during submarine missions. An appealing architecture for the development of accurate, flexible, modular and real-time classification systems is the class-modular multi-layer perceptron (CM-MLP). However, for this task, several design parameters have to be tuned and a more extensive guideline about how to conduct this process is missing in the literature. This work aims at discussing the main design phases related to the development of CM-MLP systems for passive sonar signal classification. For each phase, several approaches are discussed and their cost-effectiveness is experimentally evaluated using statistical significance tests. This analysis is based on real signals produced by 8 vessel classes and acquired by an omnidirectional hydrophone in a shallow water environment, during 263 experimental runs of 34 ships. Results show that some design parameters significantly affect the accuracy of the classification system, especially the complexity of each module. An accuracy of 84.4% is achieved by using tuned design parameters.
Starting Page	311
Ending Page	317
Page Count	7
ISSN	17518784
Volume Number	10
e-ISSN	17518792
Issue Number	Issue 2, Feb (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/10/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0179
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Appealing Architecture Automatic Classification Class Modular Multilayer Perceptron Network Class-modular Multi-layer Perceptron CM-MLP System Multilayer Perceptrons Oceanographic And Hydrological Technique And Equipment Omnidirectional Hydrophone Passive Sonar Signal Classification Real-time Classification System Shallow Water Environment Signal Processing And Detection Sonar And Acoustic Radar Sonar Operators Decision Making Sonar Signal Processing Statistical Analysis Statistical Significance Tests Statistics Submarine Missions
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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