Vlok, JDOlivier, JC2013-01-282013-01-282012-11Vlok, JD and Olivier, JC. 2012. Non-cooperative detection of weak spread-spectrum signals in AWGN. IET Communications, vol. 6(16), pp. 2513-25241751-86281751-8636http://hdl.handle.net/10204/6448Copyright: 2012 IET. This is the post-print version of the work. The definitive version is published in IET Communications, vol. 6(16), pp. 2513-2524A 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.enNon-cooperative detectionWeak signal detectionPrincipal Component AnalysisPCAArticleVlok, J., & Olivier, J. (2012). Non-cooperative detection of weak spread-spectrum signals in AWGN. http://hdl.handle.net/10204/6448Vlok, JD, and JC Olivier "Non-cooperative detection of weak spread-spectrum signals in AWGN." (2012) http://hdl.handle.net/10204/6448Vlok J, Olivier J. Non-cooperative detection of weak spread-spectrum signals in AWGN. 2012; http://hdl.handle.net/10204/6448.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 -