Practical Sub-Nyquist Sampling via Array-Based Compressed Sensing Receiver Architecture

Abstract

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 1845 GHz testbed are presented.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 10, 2016
Accession Number
AD1033796

Entities

People

  • Andrew K. Bolstad
  • James E. Vian
  • Jonathan D Chisum
  • Youngho Suh

Organizations

  • MIT Lincoln Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Angle Of Arrival
  • Antenna Arrays
  • Antennas
  • Arrays
  • Bandwidth
  • Carrier Frequencies
  • Compensation
  • Compressed Sensing
  • Dynamic Range
  • Electrical Engineering
  • Fast Fourier Transforms
  • Frequency
  • Frequency Bands
  • Phased Arrays
  • Signal Processing
  • Time Domain

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Radar Systems Engineering.