Research on Application of Compressed Sensing Technology in IR-UWB Detector System

This article mainly aims at the pulse of high speed and high precision ADC ultra wideband receiver that is difficult to achieve low cost issues, combined with natural sparse characteristics of IR-UWB signal and the channel in the compressed sensing framework, reconstructing the signal in IR-UWB receiver, and the ADC sampling rate is far lower than the conventional Nyquist sampling rate. By establishing the JSM model combining compressed sensing improved algorithm. Finally, combined with the actual data in the network, using distributed compressed sensing theory model, accurate reconstruction of the original signal measurement with less value. It can reduce the amount of information transmission and save the sensor network energy.