基于能量检测与Sevcik分形维数的协作频谱感知算法

彭艺; 朱桢以; 魏翔; 谢钊萍

doi:10.12265/j.cjors.2021313

基于能量检测与Sevcik分形维数的协作频谱感知算法

doi: 10.12265/j.cjors.2021313

昆明理工大学信息工程与自动化学院, 昆明 650500

详细信息

作者简介:
彭艺：（1975—），女，博士，副教授，主要从事无线通信、路由技术、认知无线电技术方面的研究

朱桢以：（1996—），男，硕士研究生，主要从事认知无线网络方面的研究

魏翔：（1996—），男，硕士研究生，主要从事无线通信方面的研究

谢钊萍：（1995—），女，硕士研究生，主要从事信道资源分配方面的研究

中图分类号: TN92
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- 被引次数: 0
出版历程
- 收稿日期: 2021-11-24
- 录用日期: 2022-05-07
- 网络出版日期: 2022-05-07

Cooperative spectrum sensing algorithm based on improved energy detection and Sevcik fractal dimension

Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China

摘要

摘要: 在认知无线网络中，针对单节点频谱感知易受到噪声不确定性的影响，传统的能量检测法在高噪声功率场景中检测性能较差等问题，根据Sevcik分形维数(Sevcik fractal dimension, SFD)对噪声不敏感、能够区分信号与噪声波形的特点，提出一种将自适应门限的能量检测法与SFD相结合的协作频谱感知方法.通过能量检测法对接收信号进行检测判决，然后由SFD对判定为主用户不存在的信号进行复检，并将所有检测结果进行K秩融合，根据融合结果得出最终判决. 仿真结果表明，本文提出的频谱感知方法对噪声不敏感，在低信噪比下的检测性能得到显著提高.
- 认知无线网络 /
- 频谱感知 /
- 能量检测法 /
- Sevcik分形维数(SFD) /
- 协作频谱感知
Abstract: In cognitive radio networks, the single-node spectrum sensing is susceptible to noise uncertainty, and the traditional energy detection method has poor detection performance in high noise power scenarios. According to the characteristics of Sevcik fractal dimension(SFD) that is insensitive to noise and can distinguish signal from noise waveform, a cooperative spectrum sensing method based on energy detection and SFD is proposed by combining adaptive threshold energy detection method SFD method. Firstly, the received signal is detected and judged by energy detection method, and then the signal that primary user (PU) does not exist is rechecked by SFD. Finally, all the detection results are fused by K-out-of-N rule, and final decision is obtained according to fusion result. Simulation results show that the proposed spectrum sensing method is insensitive to noise, and the detection performance is significantly improved at low signal-noise-rate (SNR).
- cognitive radio network /
- spectrum sensing /
- energy detection /
- Sevcik fractal dimension(SFD) /
- cooperative spectrum sensing

HTML全文

图 1 集中式CR网络

Fig. 1 Centralized cognitive radio network

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图 2 能量检测法基本检测流程

Fig. 2 Framework of energy detection method

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图 3 SFD的频谱感知流程

Fig. 3 Framework of SFD spectrum sensing

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图 4 CCS流程

Fig. 4 Framework of CCS

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图 5 算法流程

Fig. 5 Algorithm procedure

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图 6 频域SFD与能量检测对比

Fig. 6 Frequency domain SFD vs. energy detection

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图 7 信号的频域SFD

Fig. 7 Frequency domain SFD of signal

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图 8 三种分形维数的ROC曲线

Fig. 8 The ROC curve of 3 fractal dimensions

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图 9 三种融合算法的ROC曲线

Fig. 9 The ROC curve of 3 fusion rules

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图 10 检测概率P_d与SNR关系

Fig. 10 Detection probability P_d vs. SNR

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图 11 本地检测的ROC曲线

Fig. 11 The ROC curve of local sensing

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图 12 全局ROC曲线

Fig. 12 The ROC of Global CSS

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