电信科学

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一种基于噪声估计的能量检测自适应门限新算法

龙颖贤,张 宁,周 峰,梁旭文   

  1. 上海微小卫星工程中心 中国科学院上海微系统与信息技术研究所;中国科学院上海微系统与信息技术研究所 上海无线通信研究中心;上海微小卫星工程中心 中国科学院上海微系统与信息技术研究所;上海微小卫星工程中心 中国科学院上海微系统与信息技术研究所
  • 出版日期:2012-05-15 发布日期:2012-05-15

A New Adaptive Threshold Algorithm Based on Noise Estimation for Energy Detection

Long Yingxian,Zhang Ning,Zhou Feng and Liang Xuwen   

  1. Shanghai Engineering Center for Micro-Satellites Shanghai Institute of Micro-System and Information Technology, Chinese Academy of Sciences;Shanghai Institute of Micro-System and Information Technology, Chinese Academy of Sciences Shanghai Research Centre for Wireless Communication;Shanghai Engineering Center for Micro-Satellites Shanghai Institute of Micro-System and Information Technology, Chinese Academy of Sciences;Shanghai Engineering Center for Micro-Satellites Shanghai Institute of Micro-System and Information Technology, Chinese Academy of Sciences
  • Online:2012-05-15 Published:2012-05-15

被引次数

4

摘要： 频谱感知是认知无线电研究的关键技术之一，能量检测法是典型的频谱感知方法，但传统能量检测法的性能很容易受噪声功率变化影响。本文提出一种基于噪声方差估计的能量检测自适应门限算法。该算法基于噪声统计模型实时估计噪声方差，自适应地设置判决门限，达到更充分利用频谱资源的目的。仿真结果证明，该算法能准确估计噪声方差，有效地提高频谱检测性能。

Abstract: Spectrum sensing is one of the key technologies in cognitive radio and energy detection is a typical method of it. According to the noise uncertainty problem of conventional energy detection in spectrum sensing, this paper proposes an adaptive threshold algorithm of energy detection based on noise estimation. Combined with the system requirements, the proposed algorithm adopts constant false-alarm probability detection; it adjusts the threshold parameters adaptively using the real-time noise variance estimation based on the noise statistical model. The simulation results show that the proposed algorithm estimates the noise variance accurately and improves sensing performance obviously.

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