摘要
利用基于神经网络的模型对超宽带(UWB)室内场强进行预测。所采用的数据源自Intel公司的UWB数据库,中心频率为5GHz。通过与信道建模小组委员会最终报告所推荐的路径损耗模型的比较,显示神经网络预测的结果与实测数据更为接近。
A new field strength prediction model for UWB indoor environment is considered in this paper. The model is based on neural networks. All data are picked up from Intel UWB Database, and the corresponding center frequency is at 5GHz. The performance of neural models is compared to a path loss model which is recommended by Channel Modeling Sub - committee Report Final, and it turns out that the prediction made by the proposed model shows a good agreement with the measurements.
出处
《西安邮电学院学报》
2005年第3期1-4,共4页
Journal of Xi'an Institute of Posts and Telecommunications
基金
国家自然科学基金重点项目资助(项目批准号:60432040)
关键词
:神经网络
场强预测
路径损耗
超宽带
室内环境
Neural network
field strength prediction
path loss
UWB
indoor environment
