Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis

Yang ZHANG; Hua PENG; Ke-xian GONG

doi:10.11959/j.issn.1000-436x.2016046

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Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis

academic paper | 更新时间：2024-06-05

- Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis
- Journal on Communications Vol. 37, Issue 2, Pages: 191-198(2016)
- 作者机构：
  
  解放军信息工程大学信息系统工程学院，河南郑州450001
- 作者简介：
- 基金信息：
  
  TheNationalNaturalScienceFoundationofChina(61072046);The Base and Cutting-Edge Technology Research Project of Henan Province(132300410049)
- DOI：10.11959/j.issn.1000-436x.2016046
  CLC： TN911
- Online First：2016-02，
  
  Published：15 February 2016
- 稿件说明：
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Yang ZHANG, Hua PENG, Ke-xian GONG. Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis[J]. Journal on Communications, 2016, 37(2): 191-198.
DOI：

Yang ZHANG, Hua PENG, Ke-xian GONG. Multi scale power spectral density subband gradient-based spectrum sensing algorithm and performance analysis[J]. Journal on Communications, 2016, 37(2): 191-198. DOI： 10.11959/j.issn.1000-436x.2016046.

摘要

为了应对复杂环境下非合作通信、电磁频谱监管等宽带接收中存在的先验信息缺失、信道失真严重以及频域呈现不平坦色噪声的挑战，提出一种基于多尺度功率谱子带梯度的宽带频谱感知算法，该算法不要任何的先验信息，对功率谱进行分段计算梯度，再进行自适应双阈值检测，通过多尺度的技巧提高了宽带频谱感知的稳定性。对该算法在不同信道模型下的统计特性、虚警概率、检测概率以及判决门限的表达式进行了理论推导。理论分析和实验仿真表明，算法适用于高斯噪声信道和平坦衰落信道，能够有效克服色噪声，并且能够实现用户频带范围定位，运算复杂度低、实时性强，对噪声不确定度具有稳健性，能够用于低信噪比场合。

Abstract

In response to the challenge of the complex environment such as non-cooperative communication and wide-band electromagnetic spectrum regulation

where existing missing priori information

serious channel distortion and un-even color noise in frequency domain

a novel spectrum sensing algorithm based on multi-scale power spectral density subband gradient(MPSG)was proposed. The proposed algorithm

not relying on any prior information

calculated gra-dients of sections for the power spectrum and detected the narrowband signals by adaptive double threshold

which im-proved the stability of wideband spectrum sensing through multi-scale technique. Theoretically expressions of statistical properties

false alarm probability

detection probability and decision threshold in different channels were deduced. The theoretical analysis and simulation results prove that the novel algorithm overcomes effectively the color noise with low computational complexity and strong real-time in Gaussian noise and fading channel

which can accomplish occupying band range localization of prime users. In addition

the proposed algorithm is robust for noise varia uncertainty

even in the low SNR environment.

关键词

Keywords

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