A multi-sensor compressed sensing receiver: performance bounds and simulated results

  • Authors:
  • Benjamin Miller;Joel Goodman;Keith Forsythe;John Z. Sun;Vivek K. Goyal

  • Affiliations:
  • MIT Lincoln Laboratory, Lexington, Massachusetts;MIT Lincoln Laboratory, Lexington, Massachusetts;MIT Lincoln Laboratory, Lexington, Massachusetts;Massachusetts Institute of Technology, Cambridge, Massachusetts;Massachusetts Institute of Technology, Cambridge, Massachusetts

  • Venue:
  • Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
  • Year:
  • 2009

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Abstract

Multi-sensor receivers are commonly tasked with detecting, demodulating and geolocating target emitters over very wide frequency bands. Compressed sensing can be applied to persistently monitor a wide bandwidth, given that the received signal can be represented using a small number of coefficients in some basis. In this paper we present a multi-sensor compressive sensing receiver that is capable of reconstructing frequency-sparse signals using block reconstruction techniques in a sensor-frequency basis. We derive performance bounds for time-difference and angle of arrival (AoA) estimation of such a receiver, and present simulated results in which we compare AoA reconstruction performance to the bounds derived.