强激光与粒子束2018，Vol.30Issue(3)：55-61,7.DOI:10.11884/HPLPB201830.170395
基于改进的稀疏度自适应匹配追踪算法的宽带压缩频谱感知
Wideband compressed spectrum sensing based on modified sparsity adaptive matching pursuit algorithm
摘要
Abstract
Traditional spectrum sensing based on compressed sensing assumes that the sparsity is known,while actually,it is unknown.To solve the problem,we proposed a modified sparsity adaptive matching pursuit (MSAMP)algorithm.The MSAMP algorithm pre-estimates the value of sparsity in the process of choosing the support set.A cooperative wideband spectrum compressed sensing method is developed based on the MSAMP algorithm and sequential compression inspection technique.Theoretical analysis and simulation results show that the method can enhance the spectrum sensing capability without a priori knowledge of sparsity.关键词
频谱感知/压缩感知/重构算法/稀疏度Key words
spectrum sensing/compressed sensing/reconstruction algorithm/sparsity分类
信息技术与安全科学引用本文复制引用
焦传海,李永成..基于改进的稀疏度自适应匹配追踪算法的宽带压缩频谱感知[J].强激光与粒子束,2018,30(3):55-61,7.基金项目
State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System Open Foun-dation (CEMEE2015Z0203B) （CEMEE2015Z0203B）
Natural Science Foundation of Anhui Province (1608085QF143) （1608085QF143）
