Study on evaporation duct estimation from point-to-point propagation measurements
- Author(s): Qi Zhang 1, 2 and Kunde Yang 1, 2
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View affiliations
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Affiliations:
1:
School of Marine Science and Technology, Northwestern Polytechnical University , Xi'an 710072 , People's Republic of China ;
2: Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology , Xi'an 710072 , People's Republic of China
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Affiliations:
1:
School of Marine Science and Technology, Northwestern Polytechnical University , Xi'an 710072 , People's Republic of China ;
- Source:
Volume 12, Issue 4,
July
2018,
p.
456 – 460
DOI: 10.1049/iet-smt.2017.0342 , Print ISSN 1751-8822, Online ISSN 1751-8830
Studies are conducted to estimate the evaporation duct refractivity structure inversely using signal strength sampled in the point-to-point propagation measurements. The repulsive particle swarm optimisation (RPSO) is adopted as an efficient optimisation algorithm to improve the efficiency of the inverse process. To verify the performance of the RPSO algorithm, numerical simulations are done to compare it with genetic algorithm and particle swarm optimisation for a typical inverse problem in estimating evaporation duct height and transmitting distance simultaneously. Moreover, to get better inversion accuracy, a layered evaporation duct model is also adopted and further numerical study based on measured refractivity profiles clearly demonstrate the better performance of layered model over other models to exhibit a closer match to the sonde data.
Inspec keywords: refractive index measurement; signal sampling; genetic algorithms; evaporation; particle swarm optimisation; distance measurement; numerical analysis; light propagation; inverse problems; height measurement
Other keywords: genetic algorithm; evaporation duct height estimation; evaporation duct refractivity structure estimation; point-to-point propagation measurement; numerical simulation; transmitting distance estimation; inverse problem; signal strength sampling; RPSO algorithm; repulsive particle swarm optimisation; layered evaporation duct model
Subjects: Spatial variables measurement; Optical propagation, transmission and absorption; Other numerical methods; Optical variables measurement; Numerical approximation and analysis; Optical refractometry and reflectometry; Optimisation techniques; Spatial variables measurement; Signal processing and detection
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