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Random Sampling for Analog-to-Information Conversion of Wideband Signals

Submitted by Jaska on Mon, 09/18/2006 - 5:22am.

Authors:

Jason Laska; Sami Kirolos; Yehia Massoud; Richard Baraniuk; Anna Gilbert; Mark Iwen; Martin Strauss

Source:

IEEE Dallas Circuits and Systems Workshop (DCAS), Dallas, TX (2006)

URL:

http://www.ece.rice.edu/~jnl5066/papers/DCAS2006_spgram.pdf

Abstract:

We develop a framework for analog-to-information conversion that enables sub-Nyquist acquisition and processing of wideband signals that are sparse in a local Fourier representation. The first component of the framework is a random sampling system that can be implemented in practical hardware. The second is an efficient information recovery algorithm to compute the spectrogram of the signal, which we dub the sparsogram. A simulated acquisition of a frequency hopping signal operates at 33X— sub-Nyquist average sampling rate with little degradation in signal quality.

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