The Research on Field Strength Estimation of FM Radio Station in Kaohsiung Area Using Neural Networks

• Main Authors: Jui-Feng Yeh, 葉瑞峰
• Other Authors: Ching-Tai Chiang
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/24109093531606291122

碩士 === 義守大學 === 電機工程學系 === 92 === The propagation model ITU-R 370 is a popular method of radio field strength estimation in the area of North America and Europe. Because the terrain and climate in Taiwan are different from those in North America and Europe, the performance of ITU-R 370 model is degraded in estimating the field strength of the FM radiobroadcast station in Taiwan area. The drawback will influence the reuse of the frequency, and therefore waste the resource of radio spectrum. Based on the measured data, Back Propagation Neural Network model is used to construct an estimation model for the field strength estimation of FM radio station in Kaohsiung area. Through the training process, simulation results show that the Back Propagation Neural Network model improves the performance of ITU-R 370 model. Therefore, the proposed model can be an effective auxiliary tool for the ITU-R 370 model to estimate the field strength of FM radio station in Kaohsiung area. The more accurate the field strength estimation, the more solid the arrangement of frequency reuse.