吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (5): 1506-1511.doi: 10.7964/jdxbgxb201405044

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基于指数熵的认知无线电频谱感知算法

李一兵, 常国彬, 叶方   

  1. 哈尔滨工程大学 信息与通信工程学院,哈尔滨 150001
  • 收稿日期:2013-04-03 出版日期:2014-09-01 发布日期:2014-09-01
  • 通讯作者: 叶方(1980),女,副教授,硕士生导师.研究方向:认知无线电,LTE系统干扰抑制.E-mail:yefang0815@sina.cn
  • 作者简介:李一兵(1967), 男, 教授, 博士生导师.研究方向:认知无线电.E-mail:liyibing0920@sina.cn
  • 基金资助:
    黑龙江省青年科学基金项目 (QC2012C070).

Exponential entropy-based spectrum sensing algorithm in cognitive radio

LI Yi-bing,CHANG Guo-bin,YE Fang   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001
  • Received:2013-04-03 Online:2014-09-01 Published:2014-09-01

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摘要： 针对目前认知无线电中频谱感知技术在低信噪比下检测性能差、对噪声功率不确定性鲁棒性差等问题,提出了一种基于指数熵的频谱感知算法。该方法根据H0、H1下接收信号熵特性的不同,估计接收信号的指数熵,然后通过与预设的门限进行比较,进而判断主用户信号是否存在。该方法的主要优点为:具有对噪声功率不确定性具有鲁棒性、不需要信号的先验知识以及在低信噪比下可以得到较高的检测概率。Monte Carlo仿真结果表明:在噪声功率不确定性为3 dB,采样点数为1024的情况下,当信噪比大于-8 dB时,可以达到100%的检测概率。

关键词: 通信技术, 频谱感知, 指数熵, 鲁棒性

Abstract: Current spectrum sensing methods in cognitive radio possess several shortcomings, such as poor detection performance in low Signal-to-Noise Ratio (SNR) simulation and poor robustness to the uncertainty of noise power, etc. To overcome these shortcomings, an exponential entropy-based spectrum sensing algorithm is proposed. According to the difference of exponential entropy between the situation of H0 and H1, the value of the exponential entropy of the received signal is estimated, and then compared with the threshold to judge whether the primary user's signal exists or not. The algorithm has the advantages of robustness to uncertainty of noise power, no requirement of prior information of the primary user's signal, and high detection probability in low SNR, etc. Monte Carlo simulation results show that under the situation of noise power uncertainty of 3 dB, sampling number of 1024, the detection probability can reach 100% when SNR is higher than -8 dB.

Key words: communication technology, spectrum sensing, exponential entropy, robustness

中图分类号: 

  • TN92
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