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传统的静态频谱资源分配分配政策导致频谱利用率低下,为解决这一问题,人们提出利用认知无线电技术实现动态频谱接入。频谱感知是认知无线电的关键技术,循环平稳特征检测算法是3种常见频谱检测算法之一,但是该算法存在各种不足。首先简要介绍认知无线电的背景和概念,然后详细介绍了循环平稳特征检测算法,以及目前提出的各种基于循环平稳特征检测的增强算法,分析了各自的原理及其优缺点。
The traditional allocation policy of static spectrum resource allocation leads to low spectrum utilization. To solve this problem, people propose using cognitive radio technology to realize dynamic spectrum access. Spectrum sensing is the key technology of cognitive radio. Cyclostationary feature detection algorithm is one of three common spectrum detection algorithms, but the algorithm has various deficiencies. Firstly, the background and concept of cognitive radio are briefly introduced. Then, the algorithm of cyclic stationary feature detection is introduced in detail. At present, various enhancement algorithms based on cyclostationary feature detection are proposed. Their respective principles and advantages and disadvantages are analyzed.