计算机科学 ›› 2020, Vol. 47 ›› Issue (7): 322-327.doi: 10.11896/jsjkx.190600133

• 信息安全 • 上一篇    下一篇

基于物理层安全的空间调制系统天线选择算法

丁青锋, 奚韬, 连义翀, 吴泽祥   

  1. 华东交通大学电气与自动化工程学院 南昌330013
  • 收稿日期:2019-06-25 出版日期:2020-07-15 发布日期:2020-07-16
  • 通讯作者: 奚韬(xt19950116@sina.com)
  • 作者简介:brandy724@sina.com
  • 基金资助:
    国家自然科学基金(61961018);江西省杰出青年人才计划项目(20192BCB23013);江西省自然基金(20171BAB202001,20192ACB21003);江西省教育厅科技项目(GJJ180307)

Antenna Selection for Spatial Modulation Based on Physical Layer Security

DING Qing-feng, XI Tao, LIAN Yi-chong, WU Ze-xiang   

  1. School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China
  • Received:2019-06-25 Online:2020-07-15 Published:2020-07-16
  • About author:DING Qing-feng,born in 1980,Ph.D,associate professor.His main research interests include massive MIMO systems,cooperative relay networks and intelligent optimization.
    XI Tao,born in 1995,postgraduate.His main research interests include spatial modulation system and physical layer security.
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61961018),Jiangxi Province Foundation for Distinguished Young Scholar (20192BCB23013),Jiangxi Province Natural Science Foundation of China (20171BAB202001,20192ACB21003) and Science Program of Jiangxi Educational Committee (GJJ180307)

摘要: 针对基于最优安全容量的天线选择算法复杂度较高的问题,提出一种低复杂度的基于列范数平方之差的天线选择算法。该算法首先通过归一化固定量以及简化安全容量解析式,得到合法信道范数平方与窃听者信道范数平方的差值;然后根据向量范数的性质,将差值转换为各信道系数平方之差的和;接着遍历信道系数之差并进行排序,选出使得信道范数平方之差最大的天线组合;最后通过结合该算法和人工噪声(Artificial Noise,AN)技术,将人工噪声矢量设计在筛选后余下天线的合法信道零空间,从而获得最优的安全容量。仿真结果表明,与传统的天线选择算法相比,该算法在显著提升安全容量的同时,大大降低了运算的复杂度;并在维持合法接收者误比特率较低的情况下,最大化限制窃听者的误比特率性能,从而有效地增强了系统的安全性能。

关键词: 低复杂度, 范数差值天线选择, 空间调制, 人工噪声矢量赋形, 优化排序算法, 最优安全容量

Abstract: For the high complexity of antenna selection algorithm based on optimal secrecy capacity,an improved antenna selection algorithm with low complexity based on the difference of column norm squared is proposed.First,the analytic formula of secrecy capacity is simplified by normalizing the fixed quantity with comparison of the difference between legitimate channel and eavesdropper channel,which is expanded and expressed by channel coefficient.Then the difference of channel coefficient square is traversed and sorted,and the antenna combination with the largest difference of channel norm square is selected.Meanwhile,combining the algorithm with the artificial noise,which is designed at the remaining legitimate channel null space,can obtain the optimal secrecy capacity.The simulation results show that compared with tranditional algorithm,the proposed algorithm can achieve optimal secrecy capacity with low complexity.In addition,the bit error rate of legitimate receiver is maintained and the bit error rate of eavesdropper is restricted maximumly.Meanwhile,the safety performance of the system is enhanced effectively.

Key words: Artificial noise vector forming, Low complexity, Norm difference antenna selection, Optimal secrecy capacity, Optimal sorting algorithm, Spatial modulation

中图分类号: 

  • TN929.5
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