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
Link To Document :
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