DocumentCode
2196611
Title
Improving Autocorrelation and RFM Autocorrelation Performance of Skew Tent Sequence
Author
Chen, Bin
Author_Institution
Sch. of Software & Commun. Eng., Jiangxi Univ. of Finance & Econ., NanChang, China
Volume
1
fYear
2011
fDate
14-15 May 2011
Firstpage
298
Lastpage
301
Abstract
Chaotic sequences have been widely used as pseudorandom sequences. But some well known chaotic sequence has poor autocorrelation, or after modulation, autocorrelation performance become poor, and their applications are limited. Such as Skew Tent sequence, not only has poor autocorrelation performance, but also its RFM signal has poor autocorrelation, too. Based on recently presented APAS theorem, we modified Skew Tent map to DS-Skew Tent map, and DS-Skew Tent sequence has excellent autocorrelation and RFM autocorrelation performance and has simple structure, whereas its other performances are remained invariant or become better, and can be used more widely.
Keywords
correlation methods; frequency modulation; random sequences; APAS theorem; RFM autocorrelation performance; chaotic sequences; pseudorandom sequence; random frequency modulation; skew tent sequence; Chaotic communication; Correlation; Delay; Radar imaging; Trajectory; Autocorrelation; Chaos; Phase space; Skew Tent map;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-61284-347-6
Type
conf
DOI
10.1109/NCIS.2011.67
Filename
5948737
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