dc.contributor.author |
Vlok, JD
|
|
dc.contributor.author |
Olivier, JC
|
|
dc.date.accessioned |
2013-01-28T08:04:39Z |
|
dc.date.available |
2013-01-28T08:04:39Z |
|
dc.date.issued |
2012-11 |
|
dc.identifier.citation |
Vlok, JD and Olivier, JC. 2012. Non-cooperative detection of weak spread-spectrum signals in AWGN. IET Communications, vol. 6(16), pp. 2513-2524 |
en_US |
dc.identifier.issn |
1751-8628 |
|
dc.identifier.issn |
1751-8636 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/6448
|
|
dc.description |
Copyright: 2012 IET. This is the post-print version of the work. The definitive version is published in IET Communications, vol. 6(16), pp. 2513-2524 |
en_US |
dc.description.abstract |
A semi-blind method based on principal component analysis (PCA) and sequence synchronisation is proposed to detect direct sequence spread-spectrum (DSSS) signals in a noncooperative setting under low signal-to-noise ratio (SNR) conditions. The intercepted signal is segmented to form a detection matrix from which a feature is extracted through cyclic shifting. Signal detection is then performed using a test statistic based on this feature. The carrier frequency and sequence duration of the signal to be detected are assumed known. Theoretical analysis and a computer simulation study show that the performance of the new detection method is superior to classic energy detection (ED) in an additive white Gaussian noise (AWGN) channel. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IET |
en_US |
dc.relation.ispartofseries |
Workflow;10055 |
|
dc.subject |
Non-cooperative detection |
en_US |
dc.subject |
Weak signal detection |
en_US |
dc.subject |
Principal Component Analysis |
en_US |
dc.subject |
PCA |
en_US |
dc.title |
Non-cooperative detection of weak spread-spectrum signals in AWGN |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Vlok, J., & Olivier, J. (2012). Non-cooperative detection of weak spread-spectrum signals in AWGN. http://hdl.handle.net/10204/6448 |
en_ZA |
dc.identifier.chicagocitation |
Vlok, JD, and JC Olivier "Non-cooperative detection of weak spread-spectrum signals in AWGN." (2012) http://hdl.handle.net/10204/6448 |
en_ZA |
dc.identifier.vancouvercitation |
Vlok J, Olivier J. Non-cooperative detection of weak spread-spectrum signals in AWGN. 2012; http://hdl.handle.net/10204/6448. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Vlok, JD
AU - Olivier, JC
AB - A semi-blind method based on principal component analysis (PCA) and sequence synchronisation is proposed to detect direct sequence spread-spectrum (DSSS) signals in a noncooperative setting under low signal-to-noise ratio (SNR) conditions. The intercepted signal is segmented to form a detection matrix from which a feature is extracted through cyclic shifting. Signal detection is then performed using a test statistic based on this feature. The carrier frequency and sequence duration of the signal to be detected are assumed known. Theoretical analysis and a computer simulation study show that the performance of the new detection method is superior to classic energy detection (ED) in an additive white Gaussian noise (AWGN) channel.
DA - 2012-11
DB - ResearchSpace
DP - CSIR
KW - Non-cooperative detection
KW - Weak signal detection
KW - Principal Component Analysis
KW - PCA
LK - https://researchspace.csir.co.za
PY - 2012
SM - 1751-8628
SM - 1751-8636
T1 - Non-cooperative detection of weak spread-spectrum signals in AWGN
TI - Non-cooperative detection of weak spread-spectrum signals in AWGN
UR - http://hdl.handle.net/10204/6448
ER -
|
en_ZA |