Hybrid Prediction Model for Field Strength with Ray Tracing and Artificial Neural Networks

摘要：

　　In this paper,a hybrid scheme based on ray tracing method and the artificial neural networks for the field strength prediction is presented for the indoor environment.In the proposed scheme,ray tracing technique is used to coarsely predict the field strength according to the easily-acquired low accuracy geographical databases for the indoor scenarios.Then,the artificial neural networks are trained using measurement data or simulation data from fine geographical databases to compensate the effects caused by the detail geographical information in the propagation environments.In this way,high prediction accuracy is achieved with less running time.Simulation results reveal that using this hybrid method,the field strength is predicted in higher accuracy with less computation time.

关键词： Field strength prediction ray tracing artificial neural networks

作者: Weigang Chen Yumei Lin Jinsheng Yang

作者单位: School of Electronic Information Engineering,Tianjin University, Tianjin, 300072, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 399-403

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）