Review of Ultra-Wideband Communication Technology Based on Compressed Sensing

AbstractAccording to Nyquist sampling theorem, the traditional sampling frequency of signal not less than twice the highest frequency. However, due to the higher frequency band and high-bandwidth of the Ultra-wideband signal, making the sampling rate is too high to achieve. Compressed Sensing theory provides a theory basis to cut into sampling rate possibility, and introduces a solution to deal with bottlenecks of digital-analog conversion technology on Ultra-wideband. Compressed Sensing can reconstruct the original signal accurately with lower Nyquist sampling. It has broad application prospects in the Ultra-wideband communications. This paper introduces the basic theory and applications of Compressed Sensing and Ultra-wideband, and look forward to the prospects for the study