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Pseudo-Random Sequences Generator Based on Discrete Hyperchaotic Systems
作者姓名:李昌刚  韩正之
作者单位:Li Changgang & Han Zhengzhi Department of Automation,Shanghai Jiaotong University,Shanghai 200030,P. R. China
基金项目:This project was supported by the National Natural Science Foundation of China (69874025).
摘    要:We first design a discrete hyperchaotic system via piece-wise linear state feedback. The states of the closed loop system are locally expanding in two directions but absolutely bounded on the whole, which implies hyperchaos. Then, we use three suchlike hyperchaotic systems with different feedback gain matrices to design a pseudo-random sequence generator (PRSG). Through a threshold function, three sub-sequences generated from the output of piecewise linear functions are changed into 0-1 sequences. Then, followed by XOR operation, an unpredictable pseudo-random sequence (PRS) is ultimately obtained. The analysis and simulation results indicate that the PRS, generated with hyperchaotic systems, has desirable statistical features.


Pseudo-Random Sequences Generator Based on Discrete Hyperchaotic Systems
Li Changgang & Han Zhengzhi.Pseudo-Random Sequences Generator Based on Discrete Hyperchaotic Systems[J].Journal of Systems Engineering and Electronics,2003,14(4).
Authors:Li Changgang & Han Zhengzhi
Institution:Department of Automation, Shanghai Jiaotong University, Shanghai 200030, P. R. China
Abstract:We first design a discrete hyperchaotic system via piece-wise linear state feedback. The states of the closed loop system are locally expanding in two directions but absolutely bounded on the whole, which implies hyperchaos. Then, we use three suchlike hyperchaotic systems with different feedback gain matrices to design a pseudo-random sequence generator (PRSG). Through a threshold function, three sub-sequences generated from the output of piecewise linear functions are changed into 0-1 sequences. Then, followed by XOR operation, an unpredictable pseudo-random sequence (PRS) is ultimately obtained. The analysis and simulation results indicate that the PRS, generated with hyperchaotic systems, has desirable statistical features.
Keywords:discrete hyperchaotic system  piecewise linear state feedback  pseudo-random sequences  
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