Atmospheric refractivity estimation from AIS signal power using the quantum-behaved particle swarm optimization algorithm

This paper proposes a new refractivity profile estimation method based on the use of AIS signal power and quantum-behaved particle swarm optimization (QPSO) algorithm to solve the inverse problem. Automatic identification system (AIS) is a maritime navigation safety communication system that operate...

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Vydáno v:Open Geosciences Ročník 11; číslo 1; s. 542 - 548
Hlavní autoři: Tang, Wenlong, Cha, Hao, Wei, Min, Tian, Bin, Ren, Xichuang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Warsaw De Gruyter 01.01.2019
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Témata:
Algorithms
automatic identification system
Collision avoidance
Communications systems
Identification systems
Noise levels
Optimization algorithms
quantum-behaved particle swarm optimization algorithm
Refractivity
refractivity estimation
surface-based duct
ISSN:2391-5447, 2391-5447
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Shrnutí:This paper proposes a new refractivity profile estimation method based on the use of AIS signal power and quantum-behaved particle swarm optimization (QPSO) algorithm to solve the inverse problem. Automatic identification system (AIS) is a maritime navigation safety communication system that operates in the very high frequency mobile band and was developed primarily for collision avoidance. Since AIS is a one-way communication system which does not need to consider the target echo signal, it can estimate the atmospheric refractivity profile more accurately. Estimating atmospheric refractivity profiles from AIS signal power is a complex nonlinear optimization problem, the QPSO algorithm is adopted to search for the optimal solution from various refractivity parameters, and the inversion results are compared with those of the particle swarm optimization algorithm to validate the superiority of the QPSO algorithm. In order to test the anti-noise ability of the QPSO algorithm, the synthetic AIS signal power with different Gaussian noise levels is utilized to invert the surface-based duct. Simulation results indicate that the QPSO algorithm can invert the surface-based duct using AIS signal power accurately, which verify the feasibility of the new atmospheric refractivity estimation method based on the automatic identification system.
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ISSN:2391-5447
2391-5447
DOI:10.1515/geo-2019-0044