access icon free Approach to localisation of Lee model in mountainous areas

For the path loss prediction in mountainous areas, a method is proposed to adjust the Lee model with diffraction methods using a variable step-size least mean square algorithm. Measurements were conducted in mountain areas to compare the prediction performances. The prediction performances were improved by up to 2.76 dB in the average error and 0.96 dB in the standard deviation of errors by the proposed method when compared to non-tuned Lee and Joint Radio Company (JRC) models with diffraction methods.

Inspec keywords: UHF radio propagation; least mean squares methods; electromagnetic wave diffraction

Other keywords: prediction performances; diffraction methods; noise figure 2.76 dB; mountainous areas; path loss prediction; Lee model; mountain areas; JRC models; noise figure 0.96 dB; standard error deviation; nontuned Lee model; variable step-size least mean square algorithm

Subjects: Radiowave propagation; Interpolation and function approximation (numerical analysis)

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