DocumentCode
547253
Title
Autocorrelation performance improvement of Kawakami Hyperchaos sequence based on APAS theorem
Author
Chen, Bin
Author_Institution
Sch. of software & Commun., JiangXi Univ. of Finance & Econ., Nanchang, China
Volume
2
fYear
2011
fDate
10-12 June 2011
Firstpage
479
Lastpage
482
Abstract
Hyperchaos sequences, as a kind of complex pseudorandom sequences, have been widely used. But some well known Hyperchaos sequences, such as Kawakami sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Kawakami map to S-Kawakami map, and S-Kawakami sequence has excellent autocorrelation performance, whereas its other performances are remained invariant or become better, and can be used more widely.
Keywords
chaotic communication; correlation theory; random sequences; APAS theorem; Kawakami hyperchaos sequences; S-Kawakami map; autocorrelation performance improvement; autocorrelation phase-space axis symmetric theorem; complex pseudorandom sequences; modified Kawakami map; symmetrical-Kawakami map; Chaotic communication; Correlation; Delay; Radar imaging; Trajectory; Autocorrelation; Chaos; Kawakami map; Phase space;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5952512
Filename
5952512
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