改进的最大最小特征值之差的频谱感知算法

Improved spectrum sensing algorithm based on DMM

针对传统的最大最小特征值之差的频谱感知算法(DMM),从提高特征值估计精度出发,引入了信号矩阵拆分重组的过程,提出了一种改进的协作频谱感知算法(IDMM)。该算法在逻辑上增加了协作用户数,降低了协作用户数少对频谱感知性能造成的影响。理论分析和仿真结果均表明,IDMM算法性能明显优于DMM算法。

In order to enhance the performance of the difference between the maximum and the minimum eigenvalue （DMM） algorithm, an improved cooperative sensing algorithm （IDMM） based on heightening the estimation accuracy of eigenvalue is present- ed in this paper. By the decomposition and recombination of the sensing signals, which increase the number of logic signals, the proposed algorithm exhibits a good robustness against the short of cooperation users. Theoretical analysis and simulations all show that the performance of the proposed method is superior to that of the DMM algorithm.