计算机科学 ›› 2013, Vol. 40 ›› Issue (Z11): 22-25.

• 无线网络与通信 • 上一篇    下一篇

基于信号可信度的压缩感知协作频谱检测算法

李娜,陈松,王盛,李鸥   

  1. 信息工程大学信息系统工程学院 郑州450001;信息工程大学导航与空天目标工程学院 郑州450001;信息工程大学导航与空天目标工程学院 郑州450001;信息工程大学信息系统工程学院 郑州450001
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家863项目(2009AA01Z207)资助

Compressed Sensing-based Cooperative Spectrum Detection Algorithm Based on Signal Dependability

LI Na,CHEN Song,WANG Sheng and LI Ou   

  • Online:2018-11-16 Published:2018-11-16

摘要: 压缩感知为认知无线电的宽频谱感知提供了一种新的方法和思路。基于压缩感知的原理,提出了一种多认知用户协作场景下,基于信号可信度的协作频谱检测算法。该算法根据不同认知用户接收信号的优劣判定用户感知结果的可信度,并利用正交匹配协作追踪算法获得认知区域内的频谱占用情况。仿真结果表明,该算法在不同信噪比范围下其检测性能均优于传统算法,以较小的复杂度代价改善了检测性能。

关键词: 认知无线电,压缩感知,协作频谱检测,信号可信度

Abstract: Compressed sensing provides a new way for broad band spectrum sensing in cognitive radio.According to the principle of compressed sensing,a cooperative spectrum detection algorithm based on signal dependability is proposed,which is used in the scenario of multiple cooperated cognitive users.The quality of signal that users received is used as the dependability in this algorithm,while the spectrum occupation is determined by Orthogonal Matching Tracking algorithm.Simulation results show that the proposed algorithm performs better than traditional ones in the conditions of different signal-noise ratio,and the detection performance is improved with low complexity.

Key words: Cognitive radio(CR),Compressed sensing,Cooperative spectrum detection,Signal dependability

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