| 摘要: |
| 鉴于超宽带（UWB）信道估计要求预先给出信道才能精确重构的不足，研究了
基于压缩感知的盲稀疏度匹配追踪类算法用于信道重建。这种盲稀疏度方法根据迭代终止条
件和字典中最优原子选择方式的不同，设置迭代终止阈值和阶段转换阈值，通过可变步长的
增大逐步逼近稀疏度，实现精确重建。仿真结果表明，相同条件下，基于此思想经过改进算
法可有效用于解决实际UWB信道估计，较改进前算法估计性能相当，是一种具有应用价值的
盲稀疏度重构方法。 |
| 关键词: 超宽带信号 压缩感知 信道估计 盲稀疏度 贪婪迭代类算法 |
| DOI： |
|
| 基金项目:国家自然科学基金资助项目(61171170） |
|
| Channel estimation based on compressed sensing UWB signal blind sparsity |
| WANG Ping,RUAN Huai-lin,FAN Fu-hua,CHEN Xiao-bo |
| () |
| Abstract: |
| In view of the shortcoming that ultrawideband (UWB) channel estimation require
s sparsity as the prior information in order to accurately reconstruct, the blind sparsi
ty iterative greedy reconstruction algorithm based on compressed sensing for the
channel estimation is studied. This blind sparsity method
sets the iteration termination threshold and stage conversion threshold
according to the differences between the iteration termination condition and the
way of choice of optimal atom in dictionary,and through increasing var
iable step, sparsity is gradually approximated to achieve accurate reconstruction. The simulation results show that, under the same conditions, based on this idea the improved algorithm
can effectively be used to solve practical UWB channel estimation. The
estimation performance is equivalent to that of previous algorithm, and t
he blind sparsity reconstruction algorithm has a certain application value. |
| Key words: UWB signal compressed sensing channel estimation blind sparsity iterative greedy algorithm |
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