A Geometric Calibration Method of Hydrophone Array Based on Maximum Likelihood Estimation with Sources in Near Field

Considering the requirement of the near-field calibration under strong underwater multipath condition, a high-precision geometric calibration method based on maximum likelihood estimation is proposed. It can be used as both auxiliary-calibration and self-calibration. According to the near-field geom...

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Vydané v:Journal of marine science and engineering Ročník 8; číslo 9; s. 678
Hlavní autori: Zou, Nan, Jia, Zhenqi, Fu, Jin, Feng, Jia, Liu, Mengqi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.09.2020
Predmet:
Accuracy
Acoustics
Algorithms
Calibration
Computer simulation
correlated multipath channel
Differential geometry
Eigenvectors
element position error
Evolutionary computation
Geometry
Hydrophones
lake experiment
long hydrophone array
Mathematical research
Maximum likelihood estimation
Maximum likelihood estimators
Methods
Noise
Objective function
Optimization
optimization solution
Optimization theory
Parameter estimation
Self calibration
Signal to noise ratio
Simulation
unconditioned maximum likelihood detector (UML)
China
ISSN:2077-1312, 2077-1312
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Popis
Shrnutí:Considering the requirement of the near-field calibration under strong underwater multipath condition, a high-precision geometric calibration method based on maximum likelihood estimation is proposed. It can be used as both auxiliary-calibration and self-calibration. According to the near-field geometry error model, the objective function of nonlinear optimization problem is constructed by using the unconditional maximum likelihood estimator. The influence of multipath on geometric calibration is studied. The strong reflections are considered as the coherent sources, and the compensation strategy for auxiliary-calibration is realized. The optimization method (differential evolution, DE) is used to solve the geometry errors and sources’ position. The method in this paper is compared with the eigenvector method. The simulation results show that the method in this paper is more accurate than the eigenvector method especially under high signal-to-noise ratio (SNR) and multipath environment. Experiment results further verify the effectiveness.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2077-1312
2077-1312
DOI:10.3390/jmse8090678