Title :
Improving autocorrelation performance of Hyperhenon 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 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;
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
DOI :
10.1109/ANTHOLOGY.2013.6784959