基于Ad hoc网络的联合有效用户识别与信道安全编译码方法  被引量:7

Joint Virtual User Identification and Channel Security En/Decoding Method for Ad hoc Networks

在线阅读下载全文

作  者:张克楠 凃国防 张灿 陈德元 ZHANG Kenan;TU Guofang;ZHANG Can;CHEN Deyuan(School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区:[1]中国科学院大学电子电气与通信工程学院,北京100049

出  处:《电子与信息学报》2021年第2期380-387,共8页Journal of Electronics & Information Technology

基  金:国家自然科学基金(61571416,61271282);中国科学院奖励基金(Y82901EA1)。

摘  要:Ad hoc网络是一种无中心的自组织网络,由于用户能量受限当信噪比较低时有效用户识别的可靠性和信道安全性下降。该文针对这个问题提出一种联合有效用户识别与信道安全编译码方法。将发送用户的正交地址码与接收用户的伪随机地址码异或产生基于发送用户与接收用户的有效用户识别码。为提高信道安全性以信道安全码作为密钥加密有效用户识别码得到正交随机安全序列。为实现扩频并提高传输效率将发送数据以6 bit信息作为一个符号进行分组,将每个符号与一个正交随机安全序列对应。接收用户采用基于子空间的方法处理接收信号,通过建立判决模型识别有效用户。实验结果表明该方法与已有方法相比,当有效用户识别的漏警概率为10^-3时信噪比增益改善1.6 dB。Ad hoc network is a kind of self-organized network without center.The reliability of virtual user identification and channel security are reduced when SNR is low due to user energy limitation.In order to solve this problem,a joint virtual user identification and channel security en/decoding method is proposed in this paper.Transmitter-receiver-based virtual user identification code is generated by xoring the orthogonal address code of transmitter with the pseudo random address code of receiver and encrypted with channel security code as key to acquire orthogonal random secure sequence so as to improve channel security.In order to realize spread spectrum as well as improve transmission efficiency,transmitted data is divided into 6-bit symbols,each symbol is mapped with an orthogonal random secure sequence.Receivers adopt subspace-based method to process received data and establish a judgment model to identify virtual users.Simulation results indicate that the proposed method obtains 1.6 dB Nb/N0 gains compared with existing methods when miss alarm rate of virtual user identification is 10^-3.

关 键 词:Ad hoc网络 联合编译码方法 有效用户识别 信道安全 

分 类 号:TN918.91[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象