
Proceedings Paper
Compressive detection of frequency-hopping spread spectrum signalsFormat | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 8717:
Compressive Sensing II
Fauzia Ahmad, Editor(s)
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)
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)
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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