A Chaos-based High Quality PN Sequence Generator

摘要：

Chaos-based PN sequence generators are widely investigated recently. Concrete implementation of theses chaos-based generators usually have some problems because any processor or chips are computation precision restricted, which greatly effects the statistical properties of a chaotic PN sequence. This paper proposes a couple chaotic systems based stochastic bit quantification algorithm, which extends the period of the chaotic PN sequence and strengthens the anti neural network based adaptive parameter attack ability under precision restricted condition. The balance and correlation properties of the generated sequence are analyzed. The sequence is proved to be a binary Bernoulli sequence and the side lobes of odd/even auto and cross correlation are proved to obey normal distribution N(0, 1/N). Experimental results show that the algorithm has excellent statistical properties, and can be used to generate PN sequence with higher quality than conventional schemes.

作者: Hui-yan Jiang Chong Fu

作者单位: Software College, Northeastern University, Shenyang 110004, China School of Information Science and Engineering, Northeastern University, Shenyang 110004, China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1351-1355

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）