The Research of Chaos-based M-ary Spreading Sequences

نویسندگان

  • GAO Qiang
  • YAN Hua
  • YANG Hongye
چکیده

This paper is devoted to the generation and evaluation of the Chaos-based M-ary spreading sequences on communications systems. Sequences obtained by repeating a truncated and multi-ary quantized chaotic series are compared with classical m-sequences by means of the autocorrelation and cross-correlation properties and power-spectral features. Anti-noise performance of binary sequences and chaotic-based M-ary spreading sequences has been compared in the case of the same single-frequency interferences. Studies have shown that spectral features and anti-noise performance of chaotic-based Mary spreading sequences which have great researching value are better than binary sequences.

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تاریخ انتشار 2013