An adaptive method to estimate S-wave velocity and rock modulus

Cao, Weijun; Wei, Bingtao; Wang, Huazhong

doi:10.1190/igc2017-184

Cited by 1 publication

(1 citation statement)

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“…The method described in the paper utilizes the particle swarm algorithm as its main component, with the genetic algorithm embedded within it [30]. This combination effectively combines the strengths of global search and local search, resulting in improved search performance [31].…”

Section: The Methods Of Positioning the Blind Sourcementioning

confidence: 99%

Novel Intelligent Methods for Channel Path Classification and Model Determination Based on Blind Source Signals

Cao,

Liu,

Cheng

et al. 2024

Atmosphere

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In this paper, the urban signal propagation characteristics based on the location of blind sources are investigated. To address the issue of blind electromagnetic radiation sources in complex urban environments, intelligent methods for propagation channel path classification, and model determination are brought forth based on field test data. The intelligent classification method distinguishes between the Line-of-Sight (LoS) path channel and a direct path, the LoS multipath channel with a direct path and other multiple paths, and the Non-Line-of-Sight (NLoS) multipath channel without a direct path from the source to the test point. The modeling aspect determines the model type to which the received signal belongs based on the statistical model derived from the tested data of a specific source. A validation measurement system was constructed for the FM broadcasting band, and validation campaigns were conducted in the city of Wuhan. The process and analysis of the data using this method demonstrate the accurate distinction of the different propagation path channels and models and involve the construction of a statistical model for the FM band in Wuhan’s urban area.

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Section: The Methods Of Positioning the Blind Sourcementioning

confidence: 99%