دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Novel Intelligent Methods for Channel Path Classification and Model Determination Based on Blind Source Signals.
المؤلفون: Cao, Li-Feng, Liu, Cheng-Guo, Cheng, Run-Sheng, Tang, Guang-Pu, Xiao, Tong, Huang, Li-Feng, Wang, Hong-Guang
المصدر: Atmosphere; Mar2024, Vol. 15 Issue 3, p280, 13p
مصطلحات موضوعية: MULTIPATH channels, FM broadcasting, ELECTROMAGNETIC radiation, RADIO wave propagation, RADIATION sources
مصطلحات جغرافية: WUHAN (China)
مستخلص: 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:20734433
DOI:10.3390/atmos15030280