基于随机矩阵理论的协作频谱感知
doi: 10.3724/SP.J.1146.2008.01154
Cooperative Spectrum Sensing Based on Random Matrix Theory
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摘要: 认知无线电频谱共享技术在新一代无线通信网络中具有广泛的应用前景，频谱感知是其中最重要的环节。该文提出了一种新的在多认知用户环境中，基于大维随机矩阵理论的协作频谱感知算法。充分利用随机矩阵的渐近谱分布特性及小样本下最大特征值收敛特性来提高感知性能。理论分析和仿真结果均表明，新算法性能明显优于同类算法和典型的能量检测算法。Abstract: Spectrum sharing of Cognitive Radios (CRs) has broad application prospects to the new generation of wireless communication networks. In multi-cognitive-user circumstance, using tools from asymptotic random matrix theory, a new cooperative scheme for frequency band sensing is proposed. The property of asymptotic spectrum distribution of random matrices and the convergence of the maximum eigenvalue with low samples are well considered. Theoretical analysis and simulations results show that the new algorithm is obviously outperforming congener algorithms and classical energy detection techniques.
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