Ultra - wideband ( UWB) has wide applications in wireless communications, radar detection/imaging , and wireless sensor networks. Due to the broadband width of short UWB pulses, high - speed sampling has become an important technical bottleneck, which significantly limits the rapid development of ultra - wideband systems. Compressive sensing (or Compressed Sensing, CS) is a novel sampling and reconstruction theory that can utilize quite lower rate for accurately sampling, quantization, coding and reconstruction of the compressible signals without the limitation of Nyquist - Shannon sampling theorem. CS theory provides a novel technical solution to the sampling of UWB signals. Two kinds of CS based UWB signal sampling systems after brief introduction of the basic principles of the CS and the investigation of its application in UWB systems is described. Several key technologies to apply CS theory to UWB systems and analyze the development trends of CS based UWB sampling techniques in future are discussed. The analysis in the article provides very helpful suggestions for the further study on the CS based UWB systems.%超宽带( Ultra - Wideband,UWB)在无线通信、雷达探测与成像、无线传感网络等领域具有广阔的应用前景.由于UWB脉冲信号的频带宽、时间宽度窄,高速采样已成为制约UWB无线系统快速发展的一个重要的技术瓶颈.压缩感知(Compressive Sensing or Compressed Sensing,CS)是一种新型的信号采样和复原理论,不受传统采样定律限制,能以远低于Nyquist - Shannon采样定律要求的速率,对可压缩信号进行精确的采样、量化、编码和复原.CS理论的出现为UWB信号采样提供一种全新的技术解决方案.依据CS基本原理及其在UWB系统应用中的最新研究进展,重点探讨了两种新型的基于CS的UWB信号采样系统,同时分析和讨论了CS在UWB系统应用中的关键技术及未来发展趋势.文中的分析和讨论对进一步深入研究基于CS的UWB系统有一定的参考指导作用.
展开▼
