DocumentCode
554123
Title
Improvement of autocorrelation performance of OCML Spatiotemporal chaotic sequence based on APAS theorem
Author
Bin Chen
Author_Institution
Sch. of Software & Commun., JiangXi Univ. of Finance & Econ., Nanchang, China
Volume
3
fYear
2011
fDate
26-28 July 2011
Firstpage
1390
Lastpage
1393
Abstract
Spatiotemporal chaotic sequences have been widely used as a kind of complex pseudorandom sequences. But some well known Spatiotemporal chaotic sequences, such as One Way Couple Map Lattices (OCML) sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented Autocorrelation Phase-space Axis Symmetric (APAS) theorem, we modified OCML map to Symmetrical-OCML (S-OCML) map, and S-OCML sequence has excellent autocorrelation performance, whereas its other performances remain invariant or become better, and can be used more widely.
Keywords
chaotic communication; correlation theory; random sequences; spatiotemporal phenomena; APAS theorem; OCML spatiotemporal chaotic sequence; S-OCML sequence; autocorrelation phase-space axis symmetric theorem; complex pseudorandom sequence; one way couple map lattices sequence; symmetrical-OCML map; Chaotic communication; Correlation; Delay; Logistics; Radar; Trajectory; Autocorrelation; Chaos; OCML map; Phase space;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022319
Filename
6022319
Link To Document