Differential preamble detection in packet-based wireless networks

  • Authors:
  • S. Nagaraj;S. Khan;C. Schlegel;M. V. Burnashev

  • Affiliations:
  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada;Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada;Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada;Institute for Problems of Information Transmission, Russian Academy of Sciences, Moscow, Russia

  • Venue:
  • IEEE Transactions on Wireless Communications
  • Year:
  • 2009

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Abstract

A novel hypothesis-based preamble detection method for uncoordinated, high-density packet-based communication over an additive white Gaussian noise channel is proposed and analyzed. Received samples are observed over a window of length equal to that of the preamble and a metric is computed for each sample shift of the window. A metric exceeding a noise dependent pre-computed threshold flags the presence of a preamble. The preamble sequence consists of concatenated sections of spreading sequences whose length is at most the coherence time of the channel. These sections are then differentially combined. A differential correlation-based detection is employed to locate the boundaries of the preamble. A theoretical framework is developed to provide exact analytical solutions for missing and falsely detecting a preamble using matrix analysis of quadratic Gaussian statistics. Furthermore, the robustness of the proposed methodology in a two path channel is studied. The effects of frequency and timing offsets on the system performance is evaluated. Simulation results are presented to validate the analytical expressions. Additionally, a performance comparison of the proposed differential detection scheme with that of a non-coherent square-law detector is presented.