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

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 inspi...

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Bibliographic Details
Published in:2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM) pp. 1 - 5
Main Authors: Bolstad, Andrew K., Vian, James E., Chisum, Jonathan D., Youngho Suh
Format: Conference Proceeding
Language:English
Published: IEEE 01-07-2016
Subjects:
Antenna arrays
Array signal processing
Arrays
Bandwidth
Estimation
OFDM
Receivers
Online Access:Get full text
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Summary: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.
ISSN:2151-870X
DOI:10.1109/SAM.2016.7569669