[1]周雪倩,余训健,吴晓富. 两种寄生认知无线电物理层认证方案对比[J].计算机技术与发展,2017,27(11):176-180.
 ZHOU Xue-qian,YU Xun-jian,WU Xiao-fu. Contrast Analysis on Two Authentication Schemes of Embedded Physical Layer with Cognitive Radio[J].,2017,27(11):176-180.
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 两种寄生认知无线电物理层认证方案对比()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年11期
页码:
176-180
栏目:
应用开发研究
出版日期:
2017-11-10

文章信息/Info

Title:
 Contrast Analysis on Two Authentication Schemes of Embedded Physical Layer with Cognitive Radio
文章编号:
1673-629X(2017)11-0176-05
作者:
 周雪倩余训健吴晓富
 南京邮电大学 通信与信息工程学院
Author(s):
 ZHOU Xue-qianYU Xun-jianWU Xiao-fu
关键词:
 认知无线电QPSK纠错编码传输速率
Keywords:
 cognitive radioQPSKerror correction codingtransmitting rate
分类号:
TN918
文献标志码:
A
摘要:
 为获得有效可行和可靠的认知无线电认证方法并将其应用于实际工程中,分别进行了基于寄生调制和寄生纠错编码的寄生认知无线电(CR)物理层安全认证方案的对比分析研究.为提高两种寄生认知无线电物理层认证方案对比分析的可靠性和效率,提出了一种新的编码方法.该方法在对认证标签进行低密度奇偶校验码(LDPC)编码的基础上,在认证标签中嵌入LDPC码字.为验证所提出方法的有效性和可行性,与里所码(RS)编码方法进行了对比实验.围绕误码率与认证标签传输速率两个性能参数,进行了寄生调制与寄生编码两种方案的对比实验与分析.仿真分析与实验结果表明,所提出的LDPC编码方法在性能上比RS编码更为优越,且在同一误码率与信噪比的条件下,嵌入QPSK信号的认证标签传输时间显著低于嵌入编码传输所需时间,可见寄生调制方案要优于寄生纠错编码方案.
Abstract:
 In order to find an effective,feasible and reliable approach of Cognitive Radio ( CR) authentication and put it in the practical engineering,two embedded physical layer authentication schemes in CR are compared and analyzed,including the modulation tagging and the Error Correcting Coding ( ECC) tagging. A new encoding method is proposed to improve the reliability and efficiency of the two kinds of scheme mentioned above. It embeds LDPC in authentication tag on the basis of conducting LDPC for authentication tag. So as to prove its effectiveness and feasibility,the comparison is made with RS-ECC tagging. The modulation tagging is compared with the ECC tagging in both performance of bit error rate and transmitting rate. According to the simulation results,the performance of the LDPC-ECC scheme is better than the RS-ECC scheme,and the QPSK modulation tagging is superior to that of the ECC tagging whenever the trans-mission time is concerned under the condition of same bit error ratio and signal to noise ratio.

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更新日期/Last Update: 2018-01-02