IR-UWB Signal Compressive Sensing Method Based on Incoherent Criterion

摘要

The method for IR- UWB (Impulse Radio Ultra Wideband)communication compressive sensing is present in this paper, to solve the problem of large amount of sampling data of IR-UWB resulted from high sampling frequency. This method is designed by time domain sparse characteristic of IR-UWB signals, according to the rule of incoherent criterion. Simulation results show that reconstruction error of the basic waveform signal is small when compression sampling ratio is no less than 0.35, and the same conclusion is obtained for time-hopping sequence IR-UWB signal and direct spread spectrum sequence IR- UWB signal. The effectiveness of the proposed method is verified by a large number of simulation experiments.