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      Counting surrounding nodes using DS-SS signals and de Bruijn sequences in blind environment

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      Author(s)
      Warty, C.
      Seçer, Görkem
      Yu, R.W.
      Spinsante, S.
      Date
      2013-03
      Source Title
      IEEE Aerospace Conference Proceedings
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
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      Abstract
      In 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.
      Keywords
      DeBruijn sequences
      Desynchronization
      Eigenvalue estimations
      Eigenvalues analysis
      Intelligent decisions
      Node-to-node communication
      Spreading sequences
      Technological development
      Binary sequences
      Computer simulation
      Covariance matrix
      Estimation
      Signal processing
      Eigenvalues and eigenfunctions
      Permalink
      http://hdl.handle.net/11693/28007
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/AERO.2013.6497423
      Collections
      • Department of Computer Engineering 1435
      • Department of Electrical and Electronics Engineering 3702
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