DocumentCode :
1612722
Title :
Improving autocorrelation performance of Henon sequence based on APAS theorem
Author :
Chen, Bin
Author_Institution :
School of software and communication, JiangXi University of Finance and Economics, NanChang, China
fYear :
2011
Firstpage :
1
Lastpage :
4
Abstract :
Chaotic sequences, as a kind of pseudorandom sequences, have been widely used. But some well known chaotic sequences, such as Henon sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Henon map to S-Henon map, and S-Henon 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 :
Chaotic communication; Correlation; Delay; Radar imaging; Trajectory; Autocorrelation; Chaos; Henon map; Phase space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
Type :
conf
DOI :
10.1109/ICEBEG.2011.5877020
Filename :
5877020
Link To Document :
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