概率图模型在无线网络推理中的应用  

Application of Probabilistic Graphic Model in Wireless Network Inference

作　　者：段琳琳[1,2] 王忠勇[1] 肖岩[1] 朱政宇[1] 

机构地区：[1]郑州大学信息工程学院,河南郑州450001 [2]解放军信息工程大学理学院,河南郑州450001

出　　处：《无线电工程》2012年第2期7-9,51,共4页Radio Engineering

摘　　要：重点研究概率图模型发展和分类,其信号处理方法可以有效解决无线网络中一些不确定性推理问题。在无线理论研究中,讨论并分析因子图的一些已有成果,同时关注到因子图方法在无线传感网络中的应用。结合无线网络的关键技术要求对该类模型的应用领域做进一步探讨,展望未来图模型在该领域中的应用前景。This paper lays emphasis on the research of probabilistic graphic model and related graphic signal processing methods which can efficiently solve many inference problems in wireless network.We discuss and analyze some previous results of factor graphs in the wireless communication network.Furthermore,we focus on the application of the method of factor graphs in wireless sensor network.In order to meet the technical requirements and promote the development of wireless network,we are also looking forward to the future of employing graphic model in the system and resolving more inference problems of it.

关 键 词：信号处理 无线传感网络 概率图模型 

分 类 号：TN911[电子电信—通信与信息系统]