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Journal of Projectiles, Rockets, Missiles and Guidance >

2018 , Vol. 38 >Issue 1: 109 - 113

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2018.01.026

An Optimized DAG Spectrum Sensing Algorithm with LowComputational Complexity

  • GAO Peng ,
  • LIU Yunjiang ,
  • GAO Weiting ,
  • LI Man ,
  • CHEN Juan
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  • 1 Institute of Information and Navigation, Air Force Engineering University, Xi'an 710077, China
    2 Xi'an Aeronautical University, Xi'an 710077, China
    3 No. 91917 Unit, Beijing 102400, China

Received date: 2017-05-16

  Online published: 2025-05-28

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Abstract

In order to solve the problems that for the classical spectrum sensing algorithm, the detection effect was poor and the complexity of eigenvalue decomposition operation was high at low signal to noise ratio and low sampling, based on the difference between the maximum and minimum eigenvalue algorithm (DMM), an optimization algorithm with low computational complexity was proposed in this paper. The algorithm uses the difference between the mean value and the geometric mean value of the eigenvalue to construct the detection statistics, and applies cumulative method to iteratively calculate the maximum eigenvalue to obtain dynamic detection threshold. The simulation result shows that the algorithm reduces the computational complexity and improves the detection probability compared with the classical eigenvalue algorithm in the situation of low SNR, relatively low sampling and multi cooperative cognitive users.

Key words： eigenvalue; spectrum sensing; arithmetical mean; geometric mean; computational complexity; the difference between themaximum and minimum eigenvalue

Cite this article

GAO Peng , LIU Yunjiang , GAO Weiting , LI Man , CHEN Juan . An Optimized DAG Spectrum Sensing Algorithm with LowComputational Complexity[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2018 , 38(1) : 109 -113 . DOI: 10.15892/j.cnki.djzdxb.2018.01.026

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