Approach to localisation of Lee model in mountainous areas

Abstract

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.