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APPLICATION OF COMPRESSIVE SENSING TO THE DESIGN OF WIDEBAND SIGNAL ACQUISITION RECEIVERS
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@MISC{Treichler_applicationof,
author = {John Treichler and Mark Davenport and Richard Baraniuk},
title = {APPLICATION OF COMPRESSIVE SENSING TO THE DESIGN OF WIDEBAND SIGNAL ACQUISITION RECEIVERS},
year = {}
}
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Abstract
Compressive sensing (CS) exploits the sparsity present in many signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, in theory, commensurate reductions in the size, weight, power consumption, and/or monetary cost of both signal sensors and any associated communication links. This paper examines the use of CS in environments where the input signal takes the form of a sparse combination of narrowband signals of unknown frequencies that appear anywhere in a broad spectral band. We formulate the problem statement for such a receiver and establish a reasonable set of requirements that a receiver should meet to be practically useful. The performance of a CS receiver for this application is then evaluated in two ways: using the applicable (and still evolving) CS theory and using
Keyphrases
sparsity present broad spectral band digital acquisition commensurate reduction many signal associated communication link reasonable set monetary cost c receiver unknown frequency c theory problem statement narrowband signal compressive sensing signal sensor power consumption sparse combination
