DocumentCode
3287482
Title
Improving autocorrelation performance of Skew Tent sequence based on APAS theorem
Author
Chen, Bin
Author_Institution
Sch. of Software & Commun., JiangXi Univ. of Finance & Econ., Nanchang, China
fYear
2011
fDate
15-17 April 2011
Firstpage
1424
Lastpage
1427
Abstract
Chaotic sequences, as a kind of pseudorandom sequences, have been widely used. But some well known chaotic sequences, such as Skew Tent sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Skew Tent map to S-Skew Tent map, and S-Skew Tent sequence has excellent autocorrelation performance and simple structure, whereas its other performances are remained invariant or become better, and can be used more widely.
Keywords
chaos; correlation theory; random sequences; APAS theorem; S-skew tent map; autocorrelation performance; autocorrelation phase-space axis symmetric theorem; chaotic sequences; pseudorandom sequences; skew tent sequence; Chaotic communication; Correlation; Delay; Radar imaging; Trajectory; Autocorrelation; Chaos; Phase space; Skew Tent map;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777985
Filename
5777985
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