Compressive sensing of direct sequence spread spectrum signals

Feng Liu; Michael W. Marcellin; Nathan A. Goodman; Ali Bilgin

doi:10.1117/12.2053370

23 May 2014 Compressive sensing of direct sequence spread spectrum signals

Feng Liu, Michael W. Marcellin, Nathan A. Goodman, Ali Bilgin

Proceedings Volume 9109, Compressive Sensing III; 91090A (2014) https://doi.org/10.1117/12.2053370
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Feng Liu, Michael W. Marcellin, Nathan A. Goodman, and Ali Bilgin "Compressive sensing of direct sequence spread spectrum signals", Proc. SPIE 9109, Compressive Sensing III, 91090A (23 May 2014); https://doi.org/10.1117/12.2053370

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