Z. Abdullahi, O. U. Okereke, A. I. Isa, A. Ozovehe
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引用次数: 0
摘要
无线电传播测量是在尼日利亚卡杜纳镇的六(6)个实时基站(BS1至BS6)的900 MHz和1800 MHz频段上使用带有网络监控软件(network Cell Info Lite)的华硕Zenfone进行的。接收信号强度(RSS)测量距离为200米(以dB为单位),直到信号消失,测量时间为12个日历月,覆盖全年所有季节,计算相应的路径损耗,随后使用数据处理分组方法(GMDH)算法建立传播路径损耗预测模型。然而,获得的结果显示,模型拟合(从测量数据得到的最佳拟合曲线)与预测(即预测)之间的差异非常小。因此,由于模型拟合与预测值之间的差异不大,有时预测值优于模型拟合值,因此GMDH模型对卡杜纳大都市具有较好的预测效果。
Development of Radio Propagation Path Loss Model for Kaduna Town, Nigeria Using GMDH Algorithm
Radio propagation measurement were acquired at the 900 MHz and 1800 MHz frequency bands from six (6) live base stations (BS1 to BS6) in Kaduna town, Nigeria using an Asus Zenfone enhanced with a network monitoring software (Network Cell Info Lite). The receive signal strength (RSS) measurements were taken from the BSs at a distances of 200 m apart (in dB) until the signal faded out and the measurements were taken for twelve (12) calendar months which covered all seasons of the year, the corresponding path loss were calculated which were subsequently used to develop a propagation path loss prediction model with the Group Method of Data Handling (GMDH) algorithm. However, the results obtained shows very small variations between the model fit (which was the best fit curve from the measured data) and the predictions (which is the forecast). Hence, since the variations between the model fit and the predictions are not wide, with sometime the values of prediction being better than that model fit, the GMDH model is showing good prediction for Kaduna metropolis.