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Proceedings Paper

Compressive sensing of direct sequence spread spectrum signals
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Paper Abstract

In this paper, Compressive Sensing (CS) methods for Direct Sequence Spread Spectrum (DSSS) signals are introduced. DSSS signals are formed by modulating the original signal by a Pseudo-Noise sequence. This modulation spreads the spectra over a large bandwidth and makes interception of DSSS signals challenging. Interception of DSSS signals using traditional methods require Analog-to-Digital Converters sampling at very high rates to capture the full bandwidth. In this work, we propose CS methods that can intercept DSSS signals from compressive measurements. The proposed methods are evaluated with DSSS signals generated using Maximum-length Sequences and Binary Phase-Shift-Keying modulation at varying signal-to-noise and compression ratios.

Paper Details

Date Published: 23 May 2014
PDF: 6 pages
Proc. SPIE 9109, Compressive Sensing III, 91090A (23 May 2014); doi: 10.1117/12.2053370
Show Author Affiliations
Feng Liu, The Univ. of Arizona (United States)
Michael W. Marcellin, The Univ. of Arizona (United States)
Nathan A. Goodman, The Univ. of Oklahoma (United States)
Ali Bilgin, The Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 9109:
Compressive Sensing III
Fauzia Ahmad, Editor(s)

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