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Technical Note

Sequential Parameter Estimation of Modal Dispersion Curves with an Adaptive Particle Filter in Shallow Water: Experimental Results

by 1,2, 1,2 and 1,2,*
1
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
2
Key Laboratory of Ocean Acoustics and Sensing, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
Academic Editor: Paolo Favali
Remote Sens. 2021, 13(12), 2387; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13122387
Received: 14 April 2021 / Revised: 9 June 2021 / Accepted: 16 June 2021 / Published: 18 June 2021
(This article belongs to the Special Issue Intelligent Underwater Systems for Ocean Monitoring)
An adaptive particle filter method is presented for performing sequential geoacoustic estimation of a shallow water acoustic environment using the explosive sound sources. This approach treats environmental parameters and source–receiver distance as unknown random variables that evolve as the source moves. As a sequential estimation method, this approach reduces the expense of computation than genetic algorithm and yields results with the same accuracy. Comparing with standard Particle filter, proposed method can adjust control parameters to adapt to a rapidly changing environment. This approach is demonstrated on the shallow water sound propagation data which was collected during the ASIAEX 2001 experiment. The results indicate that the geoacoustic parameters are well estimated and source–receiver distance are also well determined. View Full-Text
Keywords: sediment parameter; particle filter; geoacoustic inversion; ocean acoustics; acoustic tracking sediment parameter; particle filter; geoacoustic inversion; ocean acoustics; acoustic tracking
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MDPI and ACS Style

Liu, H.; Yang, K.; Yang, Q. Sequential Parameter Estimation of Modal Dispersion Curves with an Adaptive Particle Filter in Shallow Water: Experimental Results. Remote Sens. 2021, 13, 2387. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13122387

AMA Style

Liu H, Yang K, Yang Q. Sequential Parameter Estimation of Modal Dispersion Curves with an Adaptive Particle Filter in Shallow Water: Experimental Results. Remote Sensing. 2021; 13(12):2387. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13122387

Chicago/Turabian Style

Liu, Hong, Kunde Yang, and Qiulong Yang. 2021. "Sequential Parameter Estimation of Modal Dispersion Curves with an Adaptive Particle Filter in Shallow Water: Experimental Results" Remote Sensing 13, no. 12: 2387. https://0-doi-org.brum.beds.ac.uk/10.3390/rs13122387

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