Title :
Improving autocorrelation performance of Henon sequence based on APAS theorem
Author_Institution :
School of software and communication, JiangXi University of Finance and Economics, NanChang, China
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;
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
DOI :
10.1109/ICEBEG.2011.5877020