Assessment and improvement of autocorrelation performance of chaotic sequences using a phase space method

被引：5
作者：
Chen Bin [1 ]
机构：
[1] JiangXi Univ Finance & Econ, Sch Software & Commun Engn, Nanchang 330032, Peoples R China
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2011年 / 54卷 / 12期
关键词：
chaos; autocorrelation; pseudorandom sequences; phase space; FINITE-DIMENSIONAL TOOLS; SIGNALS;
D O I：
10.1007/s11432-011-4445-y
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Chaotic sequences have been widely used as pseudorandom sequences. However, how to judge whether their autocorrelation performance is good remains a problem because we have no simple method for assessing and improving the autocorrelation performance. Using a phase space method, we have discovered that the autocorrelation performance of a chaotic sequence is determined by whether its phase space trajectory is axis symmetrical, and have deduced theorems to describe and solve these problems. This paper presents a simple yet effective method to assess and improve the autocorrelation performance of chaotic sequences. Several simulations are presented to validate the theorems and method.
引用
收藏
页码：2647 / 2659
页数：13
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