| 摘要: |
| 在研究自相关矩阵检测理论的基础上，提出一种采用压缩感知的分步合作频谱感知方
法。通过压缩感知将海量采样数据量减小，提取能够有效代表原信号的采样点；通过随机选
择参与运算的认知用户及其数量进行合作检测，并反馈有益信息，减少了传统合作检测所有
认知用户参与检测带来的运算复杂度。仿真表明该方法提高了频谱检测率，缩短了频谱检测
时长，减轻了控制中心负荷，提高了在宽频段进行频谱检测的可行性。 |
| 关键词: 认知无线电 压缩感知 频谱感知 自相关矩阵 分步合作 |
| DOI： |
|
| 基金项目: |
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| Step Cooperative Spectrum Detection Method Based on Compressed Sensing |
| CHEN Xiao-bo,CHEN Hong,CAI Xiao-xia |
| (PLA Electronic Engineering Institute, Hefei 230037, China) |
| Abstract: |
| Based on researching autocorrelation matrix theories of spectrum detec
tion, this paper presents a step combination cooperative spectrum detection met
hod by compressed sensing（CS）. The CS method can cut down huge samples and pic
k up samples which can effectively represent the original signal. To avoid all c
ognitive users participating detection in traditional cooperative detection and
reduce the coo
perative computational complexity, the method chooses CR numbers and its users r
andomly，then produces beneficial feedback to control centre. The simulation res
ults show that the method can not only improve the detection probability, but al
so shorten the spectrum detection search time, meanwhile, it is able to ease the
burden of control centre and improve the feasibility of spectrum detection in w
ideband spectrum. |
| Key words: cognitive radio(CR) compressed sensing(CS) spectrum detection autocorrelation
matrix step cooperative |
