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Proceedings Paper

Compressive detection of frequency-hopping spread spectrum signals
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Paper Abstract

In this paper, compressive detection strategies for FHSS signals are introduced. Rapid switching of the carrier frequency among many channels using a pseudorandom sequence makes detection of FHSS signals challenging. The conventional approach to detect these signals is to rapidly scan small segments of the spectrum sequentially. However, such a scanner has the inherent risk of never overlapping with the transmitted signal depending on factors such as rate of hopping and scanning. In this paper, we propose compressive detection strategies that sample the full spectrum in a compressive manner. Theory and simulations are presented to illustrate the benefits of the proposed framework.

Paper Details

Date Published: 31 May 2013
PDF: 6 pages
Proc. SPIE 8717, Compressive Sensing II, 87170P (31 May 2013); doi: 10.1117/12.2015969
Show Author Affiliations
Feng Liu, The Univ. of Arizona (United States)
Michael W. Marcellin, The Univ. of Arizona (United States)
Nathan A. Goodman, Univ. of Oklahoma (United States)
Ali Bilgin, The Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 8717:
Compressive Sensing II
Fauzia Ahmad, Editor(s)

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