Practical sub-Nyquist sampling via array-based compressed sensing receiver architecture

This paper introduces the Array-based Compressed sensing Receiver Architecture (ACRA). ACRA allows digital receiver arrays to operate at dramatically larger instantaneous bandwidths by sampling the signals from different array elements at different sub-Nyquist sampling rates. Signal processing inspired by the sparse fast Fourier transform allows for signal detection, estimation, and angle-of-arrival determination. Simulation results and measurements from an 18–45 GHz testbed are presented.