摘要
设计了信道估计算法实验的一个拓展内容——预估稀疏度的压缩感知超宽带信道估计算法研究与仿真实验,提出一种预估稀疏度的压缩感知超宽带信道估计算法。该算法引入稀疏度预估计,在自适应匹配之前快速估计出信号的稀疏度,避免自适应匹配时步长选择不合理对信道估计结果产生影响。在稀疏度预估计和匹配追踪两个阶段挑选原子时使用广义Dice系数准则来进行每一阶段的最优原子选择工作,并在匹配最优原子阶段引入正则化对已选原子进行二次筛选。
The extended content of the experiment on the channel estimation algorithm,i.e.,the research and simulation experiment on the estimation algorithm of the compressed perception UWB(ultra-wideband)channel of pre-estimated sparsity is designed,and an estimation algorithm of such channel is proposed.The sparsity pre-estimation is introduced into this algorithm,and before the adaptive matching,the sparsity of the signal is estimated quickly to avoid the influence of the unreasonable step size selection on the channel estimation results in adaptive matching.The generalized Dice coefficient criterion is used for the selection of the optimal atoms at each stage when atoms are selected at two stages of sparsity pre-estimation and matching tracking,and the regularization is introduced to carry out the second screening for the selected atoms at the stage of matching the optimal atoms.
作者
王艳芬
晏子敬
孙彦景
李松
Wang Yanfen;Yan Zijing;Sun Yanjing;Li Song(School of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221116,China)
出处
《实验技术与管理》
CAS
北大核心
2018年第4期113-117,共5页
Experimental Technology and Management
基金
国家自然科学基金青年项目(51504255
51504214)
江苏省高等教育教改研究立项课题(2015JSJG275)
江苏省研究生培养创新工程研究生教育教学改革课题(JGLX17_075)
关键词
稀疏度预估计
信道估计
压缩感知
超宽带
仿真实验
sparsity pre-estimation
channel estimation
compressed perception
ultra-wideband
simulation experiment
