An Improved Underwater Acoustic Positioning Algorithm Based on Dithering Technology

Hao, X.; Zhang, X.; He, J., and Yan, X., 2020. An improved underwater acoustic positioning algorithm based on dithering technology. In: Zheng, C.W.; Wang, Q.; Zhan, C., and Yang, S.B. (eds.), Air-Sea Interaction and Coastal Environments of the Maritime and Polar Silk Roads.Journal of Coastal Researc...

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Bibliographic Details
Published in:Journal of coastal research 2020-05, Vol.99 (sp1), p.79-84
Main Authors: Hao, Xueyuan, Zhang, Xianhe, He, Jun, Yan, Xiaohong
Format: Article
Language:English
Subjects:
Accuracy
Air-sea interaction
Algorithms
Arrays
Coastal environments
Coastal inlets
Coastal research
Coastal zones
Correlation
Cross correlation
dithering technology
generalized cross-correlation
Localization
microphone arrays
Microphones
noise and reverberation
Signal to noise ratio
Simulation
Sound
Sound localization
Sound sources
Technology
Underwater
Underwater acoustics
Underwater sound source positioning
Vibration
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Summary:Hao, X.; Zhang, X.; He, J., and Yan, X., 2020. An improved underwater acoustic positioning algorithm based on dithering technology. In: Zheng, C.W.; Wang, Q.; Zhan, C., and Yang, S.B. (eds.), Air-Sea Interaction and Coastal Environments of the Maritime and Polar Silk Roads.Journal of Coastal Research, Special Issue No. 99, pp. 79-84. Coconut Creek (Florida), ISSN 0749-0208. The sound source localization based on the microphone array to simulate the human ear has a wide application prospect. In the case of underwater environment of strong noise and vibration, the sound source localization technology based on the traditional generalized cross-correlation algorithm of the microphone array is difficult to achieve high precision. In order to improve the accuracy of underwater positioning, an improved GCC-IWF algorithm based on dithering technology is proposed in this paper. The noise removal ability of the algorithm is simulated by MATLAB, and the simulation results show that the GCC-IWF algorithm based on dithering technology has a good correlation sharp peak. Under the same positioning accuracy, the signal-to-noise ratio can be reduced by 5dB. In the case of signal to noise ratio, the positioning accuracy of the sound source can be increased by 49%. Finally, the actual verification is carried out through the five-element cross microphone array, which verifies the effectiveness of the algorithm and achieves the expected effect.
ISSN:0749-0208
1551-5036
DOI:10.2112/SI99-012.1