摘要
分布式调制宽带转换器(DMWC)是基于MWC改进的一种降采样方法,DMWC常用OMP算法准确感知信号的前提是已知被感知信号的稀疏度和最大带宽,引入信号稀疏度自适应匹配追踪算法(SAMP),该算法在未知信号稀疏度和最大带宽的前提下,仍能够较高概率的恢复原始信号的支撑集。实验证明DMWC结合SAMP算法不仅能够快速、准确地恢复宽带稀疏信号的频谱,而且能够灵活的匹配信号稀疏度与通道之间的关系,使得DMWC理论的应用前景更广阔。
Distributed Modulation Broadband Converter is a descending method based on MWC improvement, DMWC commonly used OMP algo- rithms to accurately perceive signals is the premise of the known sparsity and maximum bandwidth of the perceived signal. Introduces an adaptive matching tracking algorithm with signal sparsity, which can recover the support of the original signal with high probability under the premise of unknown signal sparseness and maximum bandwidth. Experiments prove that the theory can not only recover the spectrum of broadband sparse signal quickly and accurately, but also can flexibly match the relationship between signal sparseness and channel, mak- ing the application of DMWC more broad prospects.
作者
郑广春
张弘
李智
ZHENG Guang-chun, ZHANG Hong, LI Zhi(College of Electronic Information, Sichuan University, Chengdu 61006)
