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
Link To Document :
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