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Non-cooperative detection of weak spread-spectrum signals in AWGN

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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


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