关键词: 超宽带信号, 压缩感知, 信道估计, 冗余字典, 压缩采样自适应跟踪（CoSaAMP）, 压缩采样匹配跟踪（CoSaMP）

Abstract: To solve the insufficiency that Matching Pursuit algorithm is required the sparsity of the channel impulse response, the Compressive Sampling Adaptive Matching Pursuit（CoSaAMP） algorithm is proposed. Together with the redundant dictionary, and even if the sparsity is unknown, the channel impulse response is recovered accurately by the adaptive adjusting the variable step length and step by step approximating the sparsity of channel, thus solving Ultra-WideBand（UWB） channel reconstruction problem. Simulation results show that, the algorithm has a good estimation performance and a high convergence speed, and can be used to solve practical UWB channel estimation.

Key words: UWB signal, Compressed Sensing（CS）, channel estimation, redundant dictionary, CoSaAMP, Compressive Sampling Matching Pursuit（CoSaMP）