Title :
Autocorrelation performance improvement of Kawakami Hyperchaos sequence based on APAS theorem
Author_Institution :
Sch. of software & Commun., JiangXi Univ. of Finance & Econ., Nanchang, China
Abstract :
Hyperchaos sequences, as a kind of complex pseudorandom sequences, have been widely used. But some well known Hyperchaos sequences, such as Kawakami sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Kawakami map to S-Kawakami map, and S-Kawakami sequence has excellent autocorrelation performance, whereas its other performances are remained invariant or become better, and can be used more widely.
Keywords :
chaotic communication; correlation theory; random sequences; APAS theorem; Kawakami hyperchaos sequences; S-Kawakami map; autocorrelation performance improvement; autocorrelation phase-space axis symmetric theorem; complex pseudorandom sequences; modified Kawakami map; symmetrical-Kawakami map; Chaotic communication; Correlation; Delay; Radar imaging; Trajectory; Autocorrelation; Chaos; Kawakami map; Phase space;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5952512