基于循环谱对称性的频谱感知算法

高玉龙; 陈艳平; 管修挚; 张中兆; 沙学军

doi:1000-436X(2011)11-0021-06

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基于循环谱对称性的频谱感知算法

学术论文 | 更新时间：2024-06-05

- 基于循环谱对称性的频谱感知算法
- Spectrum sensing algorithm based on symmetry of cyclic spectral correlation
- 通信学报 2011年32卷第11期页码：21-26
- 作者机构：
  
  1. 哈尔滨工业大学通信技术研究所，黑龙江哈尔滨 150080
  2. 哈尔滨工程大学计算机科学与技术学院，黑龙江哈尔滨 150001
- 作者简介：
  
  [ "高玉龙（1978-），男，河南淮阳人，博士，哈尔滨工业大学副教授、硕士生导师，主要研究方向为认知无线电、通信信号处理、卫星导航定位等。" ]
  [ "陈艳平（1980-），女，黑龙江肇东人，哈尔滨工程大学博士生，主要研究方向为认知网络、网络性能评价和网络演算。" ]
  [ "管修挚（1984-），男，辽宁丹东人，哈尔滨工业大学硕士生，主要研究方向为认知无线电、LTE接收机算法等。" ]
  [ "张中兆（1951-），男，北京人，哈尔滨工业大学电信学院院长、教授、博士生导师，主要研究方向为软件无线电、数字信号处理、卫星导航定位等。" ]
  [ "沙学军（1966-），男，黑龙江齐齐哈尔人，博士，哈尔滨工业大学教授、博士生导师，主要研究方向为宽带接入、自组网协议和变换域通信等。" ]
- 基金信息：
  
  国家重点基础研究发展计划（“973”计划）基金资助项目;The National Basic Research Program of China (973 Program)(2007CB310601);中央高校基本科研业务费专项基金资助项目;The Fundamental Research Funds for the Central Universities(HITNSRIF2012018)
- DOI：1000-436X(2011)11-0021-06
  中图分类号： TN913
- 网络首发：2011-11，
  
  纸质出版：2011-11-25
- 稿件说明：
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高玉龙, 陈艳平, 管修挚, 等. 基于循环谱对称性的频谱感知算法[J]. 通信学报, 2011,32(11):21-26.

Yu-long GAO, Yan-ping CHEN, Xiu-zhi GUAN, et al. Spectrum sensing algorithm based on symmetry of cyclic spectral correlation[J]. Journal on Communications, 2011, 32(11): 21-26.
高玉龙, 陈艳平, 管修挚, 等. 基于循环谱对称性的频谱感知算法[J]. 通信学报, 2011,32(11):21-26. DOI： 1000-436X(2011)11-0021-06.

Yu-long GAO, Yan-ping CHEN, Xiu-zhi GUAN, et al. Spectrum sensing algorithm based on symmetry of cyclic spectral correlation[J]. Journal on Communications, 2011, 32(11): 21-26. DOI： 1000-436X(2011)11-0021-06.

摘要

针对现有基于循环谱的频谱感知算法的不足，利用改进SSCA算法计算接收信号的循环谱，减少算法的计算量；利用循环谱的对称性，选择非零循环频率处的循环谱抵抗干扰和噪声，结合对称性搜索策略进行频谱感知。分析并仿真了循环谱的参数对频谱感知算法的影响，仿真结果证明了所提出算法克服了传统算法的不足，提高了低信噪比下的正确检测性能。

Abstract

In response to the shortcoming of conventional algorithms

modified SSCA was exploited to calculate the cyclic spectral correlation of received signal for decreasing the computational complexity.Symmetry of cyclic spectral correlation (CSC) was used to detect the idle spectrum

criteria and method of selecting and judging symmetry were proposed.Conventional binary hypothesis condition was translated to concrete value according to symmetry.In order to eliminate the effect of interference and noise

non-zero cyclic frequencies were selected.Finally

the performance of the presented algorithm was compared with the conventional algorithms by virtue of simulation.Simulation results proved the correctness and the superiority of new algorithms.Using symmetry improves the successful detection probability for low SNR and reduces the computational complexity.

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references

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