Design of Random Demodulation Analog Information Converter for Bandpass Signals
As a practical application of compressive sensing theory,analog information converters can achieve com-pressed sampling while digitizing signals,significantly reducing system power consumption and data processing burden.However,in the field of communication,the Nyquist rate of high-frequency bandpass signals is usually extremely high,which requires analog information converter systems to have extremely high sampling frequencies,thereby increasing design complexity.In address this challenge,a random demodulation analog information converter architecture based on a bandpass Sigma-Delta modulator is proposed.The bandpass signal is demodulated using a low-speed pseudo-random sequence,effectively avoiding high power consumption and circuit design errors that may be introduced by the high-speed pseudo-random signal mixing modules.This architecture not only expands the application range of analog informa-tion converters from baseband signals to bandpass signals,but also successfully solves the technical problem of developing pseudo-random signal conversion rates that are affected by the highest frequency of bandpass signals.
analog information converterSigma-Delta modulatorbandpass samplingsub-Nyquist rate
万方数据
维普
