基于统计分布的小麦农田多径衰落信道建模研究

为预测无线传感器网络通信质量并指导节点部署与拓扑控制，研究提出小麦农田信道多尺度建模方法．根据农田作物生长态势及其与信号传播路径的相对关系，提取环境关联参数．按作物遮挡程度不同，分别提出和采用对数模型与概率分布模型进行描述分析，结合实测样本数据对模型因子进行拟合，建立了小麦农田多径衰落信道下的经验模型并进行模型评价．结果表明，无遮挡条件下采用环境关联参数拟合的大尺度模型结果的相关系数在0．98以上；遮挡条件下，采用多尺度概率分布模型描述的平均偏差在0．04以下，达到了对小麦农田多径信道准确描述的预期研究目标．

Study of Wheat Farmland Multipath Fading Channel Modeling Based on Statistical Distribution

In order to predict the communication quality and guide node deployment and topology control in wireless sensor network,a multi-scale modeling approach of wheat farmland channel was studied.Environment-related parameters are extracted according to the relationship between the crop growth trend and the signal propagation.According to the degree of blockage,lognormal model and probability distribution model are used to analyze and describe the signal path environment. The model parameters are fitted based on the experimental data.An empirical model of wheat farmland multipath fading channel is established and evaluated.In non-block situation,the average correlation coefficient of large-scale model is higher than 0.98.In block situation,average deviation of the probability distribution of multi-scale model is 0.04 or less.From the results,wheat farmland channel environment can be described by the multi-scale model.