WSNs中基于符号辅助的匹配滤波的预编码  

Sign-assisted Matched Filter Based Precoders in Wireless Sensor Networks

作　　者：马垠飞[1] 王力[1] MA Yin-fei;WANG Li(Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学

出　　处：《中国电子科学研究院学报》2019年第11期1155-1158,1163,共5页Journal of China Academy of Electronics and Information Technology

基　　金：国家自然科学基金委员会与中国民用航空局联合资助项目(U1733119)

摘　　要：无线传感网络(Wireless Sensor Networks,WSNs)由部署在兴趣区域(Region of Interest,Rol)内多个传感节点和一个融合中心(Fusion Center,FC)组成。传感节点观察Rol内现象,并收集数据,再传输至FC。由于资源受限,如功率和通信网络资源约束,传感节点在向F C传输数据前,需对数据进行预编码。为此,提出基于符号辅助的匹配滤波的预编码(Sign-assisted Matched Filter based Precoders,SA-MFP)。传感节点拥有信号矢量的个体元素的符号知识。利用这些符号信息,SA-MFP对所收集的时空数据进行压缩。仿真结果表明,SA-MFP的性能并不受信号维度的增加影响。Wireless Sensor Networks(WSNs)consists of multiple sensors distributed in a region of interest(Rol)and a fusion center(FC).The nodes or local sensors observe the phenomenon of interest and collect measurement data.Due to resource constraints,such as power and communication network constraints,the local sensors compress this data before forwarding it to the FC.Sign-assisted Matched Filter based Precoders(SA-MFP)is proposed in this paper.The sensors possess the knowledge of the signs of the individual components of the signal vector.Using this sign information,we design a linear compression strategy which is employed by the local sensors to compress the collected spatio-temporal data before forwarding it to the FC.Simulation results show that the proposed precoder's performance remains unaffected by the increase in signal dimension.

关 键 词：无线传感网络 融合中心 线性压缩 预编码 信号维度 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]