Title :
Autocorrelation performance improvement of CML Hyperchaos sequence based on APAS theorem
Author_Institution :
Sch. of Software & Commun., JiangXi Univ. of Finance & Econ., NanChang, China
Abstract :
Hyperchaos sequences have been widely used as a kind of complex pseudorandom sequences. But some well known Hyperchaos sequences, such as CML sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified CML map to S-CML map, and S-CML sequence has excellent autocorrelation performance, whereas its other performances are remained invariant or become better, and can be used more widely.
Keywords :
correlation theory; random sequences; CML hyperchaos sequence; S-CML map; S-CML sequence; autocorrelation performance improvement; autocorrelation phase-space axis symmetric theorem; complex pseudorandom sequences; Chaotic communication; Correlation; Delay; Radar imaging; Trajectory; Autocorrelation; CML map; Chaos; Phase space;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5986870