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dc.contributor.authorWarty, C.en_US
dc.contributor.authorSecer, G.en_US
dc.contributor.authorYu, R.W.en_US
dc.contributor.authorSpinsante, S.en_US
dc.date.accessioned2016-02-08T12:08:10Z
dc.date.available2016-02-08T12:08:10Z
dc.date.issued2013en_US
dc.identifier.issn1095323X
dc.identifier.urihttp://hdl.handle.net/11693/28007
dc.description.abstractIn recent years the technological development has encouraged several applications based on node to node communications without any fixed infrastructure. This paper presents preliminary evaluation of popular estimating techniques to populate active nodes in the neighborhood using De Bruijn sequences. They have much higher cardinality compared to any other family of binary sequences at a parity of length. This characteristic of De Bruijn sequences can be exploited to identify the presence of an active node in a dense surrounding, to assist the primary node in making intelligent decisions in a blind or foggy environment. The simulation model in this paper evaluates the use of eigenvalue estimation to estimate the spreading sequence among noisy signals, based on eigenvalues analysis techniques. The received signal is divided into windows, from which a covariance matrix is computed; the sequence can be reconstructed from the two first eigenvectors of this matrix, and that useful information, such as the desynchronization time, can be extracted from the eigenvalues. © 2013 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Aerospace Conference Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/AERO.2013.6497423en_US
dc.subjectDeBruijn sequencesen_US
dc.subjectDesynchronizationen_US
dc.subjectEigenvalue estimationsen_US
dc.subjectEigenvalues analysisen_US
dc.subjectIntelligent decisionsen_US
dc.subjectNode-to-node communicationen_US
dc.subjectSpreading sequencesen_US
dc.subjectTechnological developmenten_US
dc.subjectBinary sequencesen_US
dc.subjectComputer simulationen_US
dc.subjectCovariance matrixen_US
dc.subjectEstimationen_US
dc.subjectSignal processingen_US
dc.subjectEigenvalues and eigenfunctionsen_US
dc.titleCounting surrounding nodes using DS-SS signals and de Bruijn sequences in blind environmenten_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineering
dc.departmentDepartment of Electrical and Electronics Engineering
dc.identifier.doi10.1109/AERO.2013.6497423en_US


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