Guo, Tiantian, Lim, Eng Gee, Lopez-Benitez, Miguel 
ORCID: 0000-0003-0526-6687, Ma, Fei and Yu, Limin
(2022)
UNDERWATER ACOUSTIC SENSING WITH RATIONAL ORTHOGONAL WAVELET PULSE AND AUDITORY FREQUENCY CEPSTRAL COEFFICIENT-BASED FEATURE EXTRACTION.
In: 2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2022-12-16 - 2022-12-18.
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Abstract
Active pulse design, target detection and classification play an essential role in underwater acoustic sensing. This paper addresses the system design with three kinds of pulse signals, including continuous wave (CW), linear frequency modulation (LFM) signal and rational orthogonal wavelet (ROW) signal. The detector design has an architecture of feature extraction and convolutional neural network (CNN) based classification. A geometric underwater channel model is adopted to facilitate the generation of training datasets with designated geometric underwater environment parameters. The simulated received pulse signals are converted into feature maps as the input of the classifier. This paper applies the acoustic features, Short Time Fourier Transform (STFT), Mel Frequency Cepstral Coefficients (MFCC) and Gammatone Frequency Cepstral Coefficients (GFCC) to construct different feature maps. A lightweight CNN model is used as the classifier. Experiments demonstrate the superiority of the ROW wavelet pulse signals and the proposed algorithm in target localization and underwater signal classification.
| Item Type: | Conference or Workshop Item (Unspecified) |
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| Additional Information: | (c) 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
| Uncontrolled Keywords: | Tracking, Underwater communication, CNN, Mel frequency cepstral coefficient (MFCC), Gammatone frequency cepstral coefficient (GFCC), Rational orthogonal wavelet (ROW) |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 02 Feb 2023 16:52 |
| Last Modified: | 26 Apr 2024 01:26 |
| DOI: | 10.1109/ICCWAMTIP56608.2022.10016489 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3168103 |
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