摘要
针对混沌序列数目众多、相关性能良好、安全性强、保密性高以及逼近高斯白噪声的统计特性,提出一种基于加权算法的改进型Logistic混沌序列测距码.该码是通过对两个初值不同的改进型Logistic混沌序列进行加权处理、求和、量化得到的.采用基于相关峰旁瓣和Welch界两种测距码性能分析方法评估所提测距码在内的各种经典混沌序列测距码的性能.理论分析和仿真结果表明,基于加权优化混沌序列的测距码不仅平衡性大大提高,而且测距码性能良好,同时增强了测距码的安全性与保密性.
Since the chaotic sequence has a lot of numbers, good relative performance, strong security, high security and approaching statistical properties of Gaussian white noise, a ranging code based on the weighted optimizing chaotic sequence is proposed. This code is obtained by two different initial improved Logistic chaotic sequences through weighting and summation and quantification. This paper analyses various classic chaotic sequences including the weighted optimizing chaotic sequence as the performance of the ranging code based on the peaks of autocorrelation and crosscorrelation, and the Welch bound. Theoretical analysis and simulation results show that the ranging code based on the improved Logistic chaotic sequence greatly improves the balance and that the ranging code performance is good and at the same time enhances the security and privacy o~ the ranging code.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2015年第3期103-108,共6页
Journal of Xidian University
基金
国家自然科学基金资助项目(61403093)
黑龙江省留学归国科学基金资助项目(.LC2013C22)
黑龙江省博士后科研启动金资助项目(LBH-Q14048)
关键词
测距码
混沌序列
自相关
互相关
Welch界
ranging codes
chaotic sequence
autocorrelation
crosscorrelation
Welch bound
作者简介
薛睿（1980-），男，讲师，博士，E-mail：xuerui@hrbeu．edu．cn．
