Spectrum Sensing Based on SDR and Improved Energy Detection Algorithm

doi:10.19678/j.issn.1000-3428.0055192

Abstract

Abstract: To address the man-made shortage of electromagnetic spectrum resources,a general Software Defined Radio(SDR) system is established as a communication platform,and an improved dual threshold energy detection algorithm is proposed.The algorithm adds additional thresholds into the confusion region in order to refine the decision result,and then performs the fusion decision,which reduces the waste of sensor information caused by the traditional algorithm and reduces the noise impact under the real channel.In the SDR system,real time detection of the frequency band usage of authorized users is carried out,which realizes spectrum sensing and provides a basis for the spectrum access of the secondary user.Experimental results show that compared with the single threshold energy detection and the traditional double threshold energy detection method,the proposed algorithm has a higher detection probability in cases of a low Signal-to-Noise Ratio(SNR).

Key words: Software Defined Radio(SDR), cognitive radio, spectrum sensing, energy detection, double threshold

摘要： 针对人为性的电磁频谱资源匮乏问题，搭建一套通用软件定义无线电（SDR）系统作为通信平台，并提出一种改进的双阈值能量检测算法。该算法通过在混淆区域内添加额外阈值，细化判决结果后进行融合判决，减少了传统算法造成的传感信息浪费，降低真实信道下的噪声影响。在SDR系统中对授权用户频段使用情况进行实时检测，实现了频谱感知并为次用户的频谱接入提供依据。实验结果表明，相比于单阈值能量检测和传统双阈值能量检测算法，该算法在低信噪比情况下具有更高的检测概率。

关键词: 软件定义无线电, 认知无线电, 频谱感知, 能量检测, 双阈值

CLC Number:

TM721

RAN Chao, FANG Zhijun, ZHANG Yanyu. Spectrum Sensing Based on SDR and Improved Energy Detection Algorithm[J]. Computer Engineering, 2020, 46(9): 198-204.

冉超, 方志军, 张彦宇. 基于SDR和改进能量检测算法的频谱感知[J]. 计算机工程, 2020, 46(9): 198-204.

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