认知无线电差分协作压缩频谱估计算法

在分布式认知无线网络场景下，针对传统协作压缩频谱估计收敛速度慢、计算复杂 度高的问题，提出了一种差分协作压缩频谱估计算法用于宽带频谱感知。算法通过利用不同 认知用户感知的宽带信号所满足的相同频谱支撑集特征，实现了在邻居节点感知先验信息条 件下，本地认知用户基于压缩测量向量差值的宽带频谱迭代估计。仿真分析结果表明，所提 算法在频谱估计精度、检测性能与计算复杂度方面均获得了明显改善。

Differential cooperative compressed spectrum estimation for cognitive radio

In distributed cognitive radio network (CRN) scenario, this paper prop oses a differential cooperative compressed spectrum estimation(DCCSE) algorithm for wide band sensing, which can address the problems like slow convergence r ate and high complexity encountered by traditional schemes effectively. Since th e wide band signals sensed by different cognitive users share the common spect r um support set, DCCSE can estimate the wide band spectrum iteratively based o n the difference of the compressed sensing(CS) measurements, with the help of th e priori sensing information provided by neighboring users. Simulation results v alidate the marked improvements of the presented algorithm in spectrum estimatio n precision, detection performance and computational complexity.