Oner, Menguc (2009) Spectral correlation of a digital pulse stream modulated by a cyclostationary sequence in the presence of timing jitter. IEEE Transactions on Communications, 57 (2). pp. 339-342. ISSN 0090-6778
Full text not available from this repository.Abstract
Cyclostationarity is an inherent characteristic of many communication signals, which can be exploited for performing various signal processing tasks. Imperfections in the signal generation that affect the cyclic statistics of a signal may lead to a degradation in the performance of signal processing algorithms which make use of this cyclostationary behaviour. One typical source of imperfection encountered in digital signalling techniques is random jitter in the pulse timing. In this work, we systematically derive analytical expressions for the cyclic statistics of digital baseband signalling schemes in the presence of timing jitter, under the assumption that the generating wide sense cyclostationary data sequence and the stationary jitter process are statistically independent.
Item Type: | Article |
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Keywords: | correlation methods;pulse modulation;signal processing;spectral analysis;timing jitter;cyclic statistics;cyclostationary sequence;digital baseband signalling schemes;digital pulse stream modulation;signal generation;signal processing algorithms;spectral correlation;timing jitter;Degradation;Digital modulation;Pulse modulation;Signal analysis;Signal generators;Signal processing;Signal processing algorithms;Statistical analysis;Statistics;Timing jitter;Timing jitter, digital signalling, cyclostationarity, spectral correlation. |
Schools and Departments: | School of Engineering and Informatics > Engineering and Design |
Research Centres and Groups: | Sensor Technology Research Centre |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication > TK5103.2 Wireless communication systems. Mobile communication systems |
Depositing User: | Mustafa Menguc Oner |
Date Deposited: | 05 Jul 2017 10:37 |
Last Modified: | 05 Jul 2017 10:37 |
URI: | http://sro.sussex.ac.uk/id/eprint/69053 |