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2019 | OriginalPaper | Chapter

Target Recognition Based on 3-D Sparse Underwater Sonar Sensor Network

Authors : Hao Liang, Qilian Liang

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

Underwater target recognition is becoming a hot topic nowadays. In this paper, we propose a maximum likelihood automatic target recognition (ML-ATR) algorithm for both non-fluctuating and fluctuating targets. Theoretical analysis illustrates that our underwater ML-ATR method can tremendously reduce the number of physical sensors while maintain in a good performance. Simulations further validate these theoretical results.

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Title: Target Recognition Based on 3-D Sparse Underwater Sonar Sensor Network
Authors: Hao Liang
Qilian Liang
Publisher: Springer Singapore
Book: Communications, Signal Processing, and Systems
Print ISBN: 978-981-10-6570-5

Electronic ISBN: 978-981-10-6571-2

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-981-10-6571-2_310