DocumentCode
1805271
Title
Improving autocorrelation performance of Hyperhenon sequence based on APAS theorem
Author
Chen, Bin
Author_Institution
School of software and communication, JiangXi University of Finance and Economics, NanChang, China
fYear
2013
fDate
1-8 Jan. 2013
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 Hyperhenon sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Hyperhenon map to S-Hyperhenon map, and S-Hyperhenon 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
Antennas; Manganese; Remote sensing; Autocorrelation; Chaos; Hyperhenon map; Phase space;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference Anthology, IEEE
Conference_Location
China
Type
conf
DOI
10.1109/ANTHOLOGY.2013.6784959
Filename
6784959
Link To Document