压缩感知理论为IR-UWB信号的低速采样接收提供了新的思路，但现有的低速率压缩采样架构大都理想化了量化过程。该文充分考虑量化噪声的实际影响，拟设计出抗噪性强的IR-UWB接收信号重构方法。基于对压缩采样值中噪声分布特性的分析，修正了信号重构模型，并通过仿真对比了DS (Dantzig-Selector)
No takes yet. Share an insight, caveat, or question.
Zhang et al. (2013) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: