检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]常州机电职业技术学院信息工程系,江苏常州213164
出 处:《科技通报》2015年第6期172-174,共3页Bulletin of Science and Technology
基 金:江苏省产学研联合创新资金前瞻性联合研究项目(B Y2014042);2013年常州市科技计划项目(应用基础研究计划)(CJ20130007)
摘 要:无线传感器网络(WSN)在复杂应用环境下的双选信道特征配准算法研究,是对WSN数据管理的关键技术,WSN在数据发送中要经历时间和频率的双选择性衰落,为了在接收端被正确地接收,需要进行特征配准设计。传统方法采用普勒域单信道配准方法,特征配准效果不好。提出一种基于时延-多普勒域的时间和频率双选信道特征配准算法,满足复杂应用环境下的WSN数据管理需求。在线自适应调整信道配准控制误差,动态实时捕获信道传输数据,实现节点自适应优化分布,通过信道模型构建,对WSN进行时延-多普勒域表征,采用双选信道估计方法实现特征配准。仿真结果表明,该算法在复杂应用环境下,根据不同的调制信号,在不同带内信噪比下能实现对WSN的双选信道特征配准,准确率高于传统算法,抗噪性能较好,提高WSN的数据管理和调度能力,展示了本文算法的优越性能。Wireless sensor network (WSN) of doubly selective channel feature matching algorithm in complex application environment is the key technology of WSN data management, doubly selective WSN to experience time and frequency in da?ta transmitting fading, in order to be correctly receive the signal, need for feature matching design. The traditional method used the Doppler domain single channel matching method, and feature registration effect is not good. A time and frequency doubly selective channel feature matching algorithm of time delay-Doppler domain is proposed for WSN data management, it meets the needs of complex application environment. Online adaptive adjustment channel registration error is controlled, dynamic real-time capture channel transmission data, realize node adaptive optimization distribution, through the construc?tion of channel models, delay Doppler domain characterization of WSN is estimated, feature matching using the doubly se?lective channel is designed. The simulation results show that the algorithm can be applied in complex application environ?ment, according to the different modulation signals, in different band SNR, it can realize doubly selective channel feature matching for WSN, accuracy is higher than that of the traditional algorithm, it has better anti noise performance, improves the data management and scheduling capability of WSN, it shows the superior performance of the algorithm.
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222