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研究了无线传播模型的损耗及其优化问题.在现有使用最广的FDD-LTE(频分双工工作模式下的长期演进技术)网络传播模型——COST231-Hata的基础上,依据某待测区域内多场景环境测得数据,采用基于非线性最小二乘拟合方法,对该无线传播模型进行了优化.通过二重抽样方法解决了测量数据分布不均的问题,将校正后模型与实测数据进行仿真对比发现新的参数模型预测与实测数据更为接近,且优化改进后的误差也在可接受参考标准误差范围之内,证实预测的准确性得到显著提升.预测信号强度的误差均值由优化前的10.68dB·m降低到1.18dB·m,优化后误差主要分布在0~5dB·m,优化之前误差主要分布在10~20dB·m,标准差也由6.79dB·m降低到3.06dB·m.
We study the loss and optimization problem of wireless propagation model.On the basis of the existing widely used FDD-LTE (long-term evolution technology in frequency division duplex mode) network propagation model-COST231-Hata, The measured data of multi-scene environment in the area is measured and the wireless propagation model is optimized by using the non-linear least squares fitting method.The problem of uneven distribution of measurement data is solved by the double sampling method, and the corrected model and The simulation results show that the new parameter model prediction is closer to the measured data, and the error of optimization and improvement is within the range of acceptable reference standard error, which proves that the accuracy of prediction is significantly improved. From the pre-optimization 10.68dB · m to 1.18dB · m, the error after optimization is mainly distributed in 0 ~ 5dB · m, the error is mainly distributed in 10 ~ 20dB · m before optimization, and the standard deviation is reduced from 6.79dB · m to 3.06 dB · m.