Convolutional data transmission system using real-valued self-orthogonal finite-length sequences

  • Authors:

  • Jiong Le;Yoshihiro Tanada

  • Affiliations:

  • Graduate School of Science and Engineering, Yamaguchi University, Ube, Yamaguchi, Japan;Graduate School of Science and Engineering, Yamaguchi University, Ube, Yamaguchi, Japan

  • Venue:
  • ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
  • Year:
  • 2006

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Abstract

A real-valued self-orthogonal finite-length sequence has an impulsive autocorrelation function with zero sidelobes except both shift ends. This paper presents a convolutional data transmission system using the sequence. A synchronizing sequence and a data train are convolved with another sequence, to be changed to a Gaussian signal. The signal is quantized to an integer train and transmitted through a channel, and a received signal is correlated with the respective sequences. This system suppresses a channel noise and the distortion on the amplitude limitation and the quantization and brings an impulsive synchronizing pulse to measure multipath.