基于随机矩阵特征值比的机会协作频谱感知

doi:10.11959/j.issn.1000-0801.2020043

电信科学 ›› 2020, Vol. 36 ›› Issue (2): 61-67.doi: 10.11959/j.issn.1000-0801.2020043

基于随机矩阵特征值比的机会协作频谱感知

张无际,刘顺兰(),包建荣

杭州电子科技大学通信工程学院，浙江杭州 310018

修回日期:2019-10-12 出版日期:2020-02-20 发布日期:2020-05-19
作者简介:张无际（1995- ），男，杭州电子科技大学硕士生，主要研究方向为信息与信号处理、无线通信等|刘顺兰（1965- ），女，杭州电子科技大学教授，主要研究方向为信息与信号处理、无线通信等|包建荣（1978- ），男，博士，杭州电子科技大学教授，主要研究方向为空间无线通信、通信信号处理与自主无线电等
基金资助:
浙江省自然科学基金资助项目(LY18F010013);国家自然科学基金资助项目(U1809201)

Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix

Wuji ZHANG,Shunlan LIU(),Jianrong BAO

School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310018,China

Revised:2019-10-12 Online:2020-02-20 Published:2020-05-19
Supported by:
The Zhejiang Provincial Natural Science Foundation of China(LY18F010013);The National Natural Science Foundation of China(U1809201)

摘要/Abstract

摘要：

针对传统频谱感知检测概率较低的不足，提出了一种基于随机矩阵特征值比的机会协作频谱感知算法。该算法在随机检测理论基础上，利用双门限，加入机会协作机制，对传统最大最小特征值（MME）算法进行改进，并保留了传统能量检测算法的低复杂度优势。在已知虚警概率前提下，推导了判决门限，并在接收中依靠奇偶时隙划分，有效实现了机会协作。仿真结果表明，在低信噪比和低虚警概率的情况下，所提频谱感知算法，相对MME算法有更高的检测概率，适合在恶劣传输信道的无线通信中应用。

关键词: 频谱感知, 随机矩阵理论, 特征值比, 机会协作

Abstract:

To overcome the deficiencies of low detection probability of traditional spectrum sensing,an EROC spectrum sensing algorithm based on the eigenvalue ratio of a random matrix was proposed.Based on the random detection theory,it used double thresholds and opportunistic cooperation to improve of traditional maximum and minimum eigenvalue (MME) algorithm,and it retained the advantages of the traditional energy detection algorithm.Moreover,on the premise of known false alarm probability,the decision threshold was deduced,and the odd-even slot division was used to effectively realize opportunistic cooperation in reception.Simulation results show that the proposed spectrum sensing algorithm has higher detection probability than MME algorithms in case of low signal-to-noise ratio and low false alarm probability.Therefore,it is suitable for application in wireless communications with deteriorate transmission channels.

Key words: spectrum sensing, random matrix theory, eigenvalue ratio, opportunistic cooperative

中图分类号:

TN925

张无际,刘顺兰,包建荣. 基于随机矩阵特征值比的机会协作频谱感知[J]. 电信科学, 2020, 36(2): 61-67.

Wuji ZHANG,Shunlan LIU,Jianrong BAO. Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix[J]. Telecommunications Science, 2020, 36(2): 61-67.

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基于随机矩阵特征值比的机会协作频谱感知

Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix

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