Compressed Sensing Based-on Digital Multi-channel Sampling for Signal Spectrum Detection

摘要

Conventional compressed sensing is accomplished via random modulation in analog domain. In this paper, a compressed sensing method based-on digital multi-channel sampling is proposed, which is used for signal spectrum detection and evaluation. This compressed sensing method is fulfilled by random modulation in digital domain and aliasing signal spectrum to full frequency range, sampling in Nyquist frequency below followed and digital multi-channels associated signal reconstruction. Examples of experiments show this method is useful and some merits are achieved, such as reduction of hardware complexity, saved memory largely and achieved real-time data transmission.