莱斯衰落信道下的筛选传感器网络决策融合  

Decision Fusion in Censoring Sensor Networks under Rician Fading Channel

作　　者：刘守军[1] 刘克中[2] 陈伟[1] 

机构地区：[1]武汉理工大学信息工程学院,武汉430070 [2]武汉理工大学航运学院,武汉430063

出　　处：《北京邮电大学学报》2015年第5期81-85,90,共6页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(51279151)

摘　　要：针对莱斯衰落信道下的事件检测问题,在传感器网络中引入三级量化筛选策略,得出了基于信道实时状态信息的似然比融合规则.考虑到信道实时状态信息往往难以获得,进一步提出了基于莱斯信道统计分布信息的决策融合规则.并分别在低信噪比和高信噪比条件下给出了2种融合规则的简化形式.仿真结果表明,三级量化筛选策略不仅可以降低系统传输能耗,而且可以改善系统检测性能.综合分析发现,上述决策融合规则在检测性能、计算复杂度和耗费系统资源方面各有优劣.针对资源受限的无线传感器网络,在选取融合规则时,需要折中考虑.Considering the problem of event detection in censoring sensor networks,an optimal fusion rule based on the three-level quantization was derived for the mode of Rician fading channels. However,the optimal fusion rule requires instantaneous channel state information which may be too costly for resource-constrained sensor networks. A sub-optimal alternative with the knowledge of channel statistics was proposed. To further simplify the fusion rules,three simple approximations were also presented. Simulations show that,by the proposed censoring strategy,the goal of energy saving and performance improvement can be achieved. In addition,the performance analysis and comparision between different fusion rules show that in resource-constrained sensor networks,a tradeoff between detection performance and the requirement on system resource should be considered when choosing the fusion rules.

关 键 词：决策融合 莱斯衰落 三级量化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]