A new complexity metric for FH/SS sequences using fuzzy entropy

被引：0

作者：

CHEN XiaoJun SI JiangBo LI Zan CAI JuePing BAI BaoMing The State Key Laboratory of Integrated Service Networks ISNXidian UniversityXian China The School of MicroelectronicsXidian UniversityXian China ^{[1
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机构：

来源：

ScienceChina(InformationSciences) | 2011年 / 54卷 / 07期

关键词：

frequency-hopping (FH) sequence; fuzzy entropy (FuzzyEn); complexity;

D O I：

暂无

中图分类号：

O159 [模糊数学];

学科分类号：

070104 ;

摘要：

This paper presents a new complexity metric to evaluate the unpredictability of a frequencyhopping/spread-spectrum (FH/SS) sequence based on fuzzy entropy (FuzzyEn).According to the property of the FS/SS sequence,the definition of a fuzzy membership function for a complexity metric is presented and a basic theorem for FuzzyEn complexity is proved.Simulation and analytical results show that the proposed FuzzyEn works and can effectively discern the changing complexities of the FH/SS sequences,which are compared with a complexity metric based on approximate entropy (ApEn).The FuzzyEn scheme has obvious advantages in robustness to resolution parameters and sensitivity to vector dimensions.

引用

页码：1491 / 1499

页数：9