认知无线电网络中物理层频谱检测算法的研究

Study on Spectrum Sensing Algorithms of Physical Layer in Cognitive Radio Network

频谱检测是认知无线电网络(CRN)的关键技术之一,本文对认知无线电网络中物理层频谱检测的算法进行了研究。首先阐述了经典检测算法的应用场景、检测性能和设备实现复杂度,针对经典算法中的问题和不足,提出一系列改进型算法以及利用信号与噪声相关性差异的新型检测算法,并对各种检测算法进行了分类比较,在此基础上提出了结合不同检测算法优势的CRN检测策略,最后指出可能的研究方向。

Spectrum sensing is one of critical techniques in cognitive radio network. In this paper, spectrum sensing algorithms of physical layer are studied. Above all, the sensing performance and the complexity of the classical spectrum sensing algorithms are described in the scenario of CRN application. Then, a series of improved algorithms and some novel algorithms based on the difference between the correlation of the target signal and the noise are proposed, in order to overcome the drawbacks of the classical spectrum sensing algorithms. Furthermore, classification and comparison for these algorithms are developed consequently. In addition, the CRN sensing scheme is presented, which combines the advantages of different algorithms. Finally, some prospects on this subject are given at the end of this paper.