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Passive Sonar Target Recognition Using a Back Propagating Neural Network
Continue on reverse if necessary and identify by block number The prompt and accurate processing of sonar data is essential in undersea warfare.The ability to quickly detect and classify sonar targets is crucial to the performance and survivability of all navy surface ships and submarines.With the advent of neural network technology, new opportuni- ties have arisen which could greatly enhance current sonar target recogni- tion capabilities.The main objective of this research is to demonstrate the practical usage of neural networks in recognizing the acoustic signatures of passive sonar targets using simulated-at-sea conditions.We will review the theory behind neural networks, the problems associated with recognizing acoustic signals in an underwater environment, and we wil make a detailed case study of a neural network's performance using test data generated from simulated sonar targets.CLASSIFICATION
processing, performance survivability, technology, opportuni, objective, practical, signatures, simulated-at-sea conditionswe, underwater environment, targetsclassification securjty, securjty abstract, abstract iavailability, iavailability distribution, distribution unclassified, unclassified unlimited,
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