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Improved LPD characteristics for QS-DS-CDMA based on cyclostationary feature reduction
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Koumpouzi, Chryssalenia. Improved LPD characteristics for QS-DS-CDMA based on cyclostationary feature reduction. Retrieved from https://doi.org/doi:10.7282/t3-mmft-f351

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TitleImproved LPD characteristics for QS-DS-CDMA based on cyclostationary feature reduction
NameKoumpouzi, Chryssalenia (author); Spasojevic, Predrag (chair); Soljanin, Emina (member); El Rouayheb, Salim (member); Dagefu, Fikadu (member); Rutgers University; School of Graduate Studies
Date Created2022
Other Date2022-05 (degree)
SubjectElectrical engineering, CDMA, Cyclostationarity, Low probability of detection, Randomization, Wireless communications
Extent74 pages : illustrations
DescriptionEasily and flexibly deployable ad-hoc communication networks emerging in both tactical military and civilian contexts, frequently suffer from poor synchronization due to limited or no coordinating infrastructure. In addition to synchronization issues, and especially in military settings, security from the aspect of detectability is also of crucial importance. Imperfect synchronization can be dealt with by making use of Quasi-Synchronous Code Division Multiple Access (QS-CDMA), relying on Loosely Synchronous Codes to maintain orthogonality in the presence of limited time delays. Security, in terms of low probability of detection (LPD) from the standpoint of a malicious adversary, can be improved (reduced detection) by employing techniques that disrupt the inherent structure of the transmitted QS-CDMA signals. This is based on the fact that most manmade signals are Cyclostationary, having (almost) periodic Auto-Correlation functions (ACF) due to immanent signal periodicities (such as spreading code repetition).
One way to disturb the periodic signal structure is by performing randomization techniques, such as random time dithering or random selection of spreading sequences, which disturb the ACF and equivalently the Spectral Correlation function, and reduce the Degree of Cyclostationarity, our LPD measure.
Another way to effectively reduce the DCS experienced at the adversary is by employing polarization diversity. Maintaining a single-polarization adversarial model, we exploit the effects of polarization misalignment (depolarization) when the transmitter employs dual (orthogonal) polarization.
We derive the Spectral Correlation functions of the QS-CDMA signal under the proposed randomization schemes as well as in a setting making use of polarization diversity. We then compare the DCS of the derived expressions to that of simulations. We show that the Degree of Cyclostationarity can be significantly reduced by at least an order of magnitude. That is confirmed both by analysis and simulations the results of which match closely.
NotePh.D.
NoteIncludes bibliographical references
Genretheses
Persistent URLhttps://doi.org/doi:10.7282/t3-mmft-f351
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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