基于随机矩阵理论的频谱感知技术研究综述

认知无线电技术，可以提高频谱资源的利用率，应用前景广阔，极有可能引发无线通信领域的又一次重大变革。但频谱感知作为认知无线电技术的首要环节，其性能还远不能满足实际需要。研究出一种真正能够实际应用的高性能频谱感知方法已经成为一个亟待解决的问题。近年来，与无线通信领域密切相关的新理论——随机矩阵理论（RMT），在频谱感知领域得到了进一步的应用，实现了高性能频谱感知。且RMT最新研究成果——非渐近随机矩阵理论（Non-Asymptotic RMT）有望将这项高性能感知技术真正推向实际应用。因此，基于随机矩阵理论的频谱感知技术具有重要的研究价值。本文总结RMT在认知无线电频谱感知领域的发展历程、介绍其基本原理、归纳其主要特点，并展望进一步研究的方向。 

Survey on The Research of Spectrum Sensing Technologies Based on Random Matrix Theory

Cognitive radio technology, which can improve the utilization rate of spectrum resources, has broad application prospect, and is likely to lead to another major revolution in the field of wireless communications. Spectrum sensing is the first step of cognitive radio technology, but its performance is far from the actual needs. Developed a truly practical application of high-performance spectrum sensing method has become an urgent problem to be solved. In recent years, a new theory closely related to wireless communications, random matrix theory (RMT), has been further applied to achieve a high performance in the field of spectrum sensing. New algorithms based on RMT and the latest research rusults, non-asymptotic random matrix theory (Non-Asymptotic RMT), are expected to be the true high-performance sensing technology to practical applications. Therefore, the research on spectrum sensing technology based on random matrix theory has very important theoretical and practical value. This paper summarizes the development process of RMT in areas of cognitive radio spectrum sensing; introduces its basic principle, summed up its main characteristics, and prospects for further research.