| 摘要: |
| 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。 |
| 关键词: 认知无线电 协作感知 压缩感知 差分协作压缩 宽带频谱 |
| DOI： |
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| 基金项目: |
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| Differential cooperative compressed spectrum estimation for cognitive radio |
| LU Yang |
| () |
| Abstract: |
| In distributed cognitive radio network (CRN) scenario, this paper prop
oses a differential cooperative compressed spectrum estimation(DCCSE) algorithm
for wideband sensing, which can address the problems like slow convergence
r
ate and high complexity encountered by traditional schemes effectively. Since th
e wideband signals sensed by different cognitive users share the common spect
r
um support set, DCCSE can estimate the wideband 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. |
| Key words: cognitive radio cooperative sensing compressed sensing differential cooperati
ve compress wide band spectrum |
