关键词：通信；模拟信息转换器；压缩传感；超宽带；定位
摘 要：UWB signals are very suitable for localization,since their high time resolution can provide precise time of arrival (TOA) estimation.However,a major challenge in UWB signal processing is the requirement for high sampling rate.The theory of compressive sensing (CS) makes processing UWB signal at a low sampling rate possible via analog-to-information converter (AIC) if the signal has a sparse representation in a certain space.In this paper,a new framework called residual analog-to-information converter (RAIC) is proposed to improve AIC performance by adding a signal prediction/cancellation module in front of AIC.The structure of RAIC is designed and analyzed.