摘要
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.
Loss of the radio propagation model and its optimization problems were studied. Based on the most widely used FDD-LTE network transmission model, COST231-Hata, this work optimized the existing model according to the measuring data obtained in a certain area with multi-scenario envi- ronment and processed by the nonlinear least square fitting method. In addition, the uneven distribu- tion of the measuring data was settled through double sampling. Compared the corrected model with the simulation depending on the measuring data, it was found out that the prediction from the new parametric model is closer to the real data than before, and the error of the optimized model is also in the range of the acceptable reference standard, proving that the accuracy of the prediction realizes a significantly improvement. The predicting mean error of signal strength is reduced from 10.68 to 1.18 dB ·m, the error is mainly distributed between 0 and 5 dB · m after optimization while between 10 to 20 dB · m before optimization, and the standard deviation is reduced from 6.79 to 3.06 dB · m.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2016年第10期108-112,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家重点基础研究发展计划资助项目(2011CB707904)
关键词
网络传播模型
长期演进
优化
最小二乘
二重抽样
network transmission model long term evolution
optimization
least squares
double sampling
