| 频谱协作认知检测算法研究 |
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| 引用本文： | 陈磊,王红军,张旻.频谱协作认知检测算法研究[J].信号处理,2013,29(12):1677-1683. |
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| 作者姓名： | 陈磊 王红军 张旻 |
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| 作者单位： | 电子工程学院 |
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| 基金项目： | 国家自然科学基金（60972161） |
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| 摘 要： | 为实现对低信噪比主用户信号进行可靠的检测，论文结合基于循环平稳的主用户信号具有不同循环频率的特性，以及次用户间的协作检测能有效地克服无线环境中多径衰减和阴影效应等不利因素影响的特点，提出了基于循环平稳特性的协作频谱检测算法。算法利用次用户对主用户信号的多个不同循环频率进行协作检测，并对各个次用户独立的检测结果进行权值数据融合，从而实现最终全局判决。同时，为进一步改善检测性能，论文研究了基于最大比合并的权值优化方法。仿真实验表明即使信号在较低信噪比情况下，论文研究的算法亦具有较好的检测性能。
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| 关 键 词： | 认知无线网络 协作检测 最大比合并 循环频率 |
| 收稿时间： | 2013-04-02 |
Research on cognitive spectrum detection algorithm based on cooperative technology |
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| Affiliation: | Electronic Engineering Institute |
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| Abstract: | In order to realize the reliable detection of the primary user’s signal in low Signal-to-Noise Ratio, the paper presents a novel cooperative spectrum sensing algorithm based on cyclostationarity characteristics of the cyclostationary primary user’s signal. The algorithm adopts fully the different cyclic frequencies of the primary user’s signal and the sensing advantage of the cooperative detection technology to implement the cooperative spectrum sensing, overcomes multipath fading and shadowing effect of the wireless environment. The key of the algorithm is to detect the different cyclic frequencies of the primary user’s signal by the secondary users’ cooperative detection, and to make a final global decision according to the fusion data of the independent detection results of the secondary users’. Then a method is proposed in the paper to optimize the weight on basis of the deflection coefficient criterion to further improve the detection performance. The result of simulation shows that the algorithm proposed has better performance especially in low SNR. |
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