Compressive detection of direct sequence spread spectrum signals
Affiliation
Univ Arizona, Dept Elect & Comp EngnUniv Arizona, Dept Biomed Engn & Elect & Comp Engn
Issue Date
2018-11-29Keywords
spread spectrum communicationcompressed sensing
interference suppression
signal detection
code division multiple access
codes
direct sequence spread spectrum signals
spread spectrum communications
input signal
direct sequence SScompressive detection frameworkcompressive measurement kernelsDSSS signal structurenonuniform usagenoncooperative compressive detection techniquesspreading codes
Metadata
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INST ENGINEERING TECHNOLOGY-IETCitation
Liu, Feng; Marcellin, Michael W.; Goodman, Nathan A.; Bilgin, Ali: 'Compressive detection of direct sequence spread spectrum signals', Electronics Letters, 2018, 54, (24), p. 1379-1381, DOI: 10.1049/el.2018.6280 IET Digital Library, https://digital-library.theiet.org/content/journals/10.1049/el.2018.6280Journal
ELECTRONICS LETTERSRights
© The Institution of Engineering and Technology.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
In spread spectrum (SS) communications, the input signal is spread over a wider bandwidth to avoid interference or interception. One of the most common SS techniques is direct sequence SS (DSSS). In this Letter, the authors propose non-cooperative compressive detection techniques for DSSS signals. The proposed compressive detection framework allows the use of random as well as designed measurement kernels. A technique for designing compressive measurement kernels which exploit DSSS signal structure and non-uniform usage of spreading codes is proposed. Theoretical and simulation results are provided to compare the performance of the proposed methods with their conventional counterparts.ISSN
0013-51941350-911X
Version
Final accepted manuscriptSponsors
Defense Advanced Research Projects Agency (DARPA) Knowledge Enhanced Compressive Measurements Project (KECoM) [N66001-10-1-4079]Scopus Count
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