Title :
Analysis on Stability of Binary Chaotic Pseudorandom Sequence
Author :
Xiang, Fei ; Qiu, Shui-Sheng
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou
fDate :
5/1/2008 12:00:00 AM
Abstract :
This paper presents the definition of k-error approximate entropy and proves its two basic properties, which measures the stability of chaotic pseudorandom sequences. Then the stabilities of Logistic, Henon, Tent and Chebyshev maps are evaluated. Simulation results indicate that the approach is effective, which can distinguish the difference of stability of diverse chaotic sequences, and is an effective means for evaluating the stability of chaotic sequences.
Keywords :
binary sequences; chaotic communication; computational complexity; entropy; random sequences; stability; Chebyshev maps; Henon maps; Logistic maps; Tent maps; binary chaotic pseudorandom sequence; k-error approximate entropy; k-error linear complexity; stability analysis; Chaos; Chaotic communication; Chebyshev approximation; Communication system security; Entropy; Logistics; Performance evaluation; Random sequences; Stability analysis; Testing;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2008.080133