Aggregation of chaotic signal with proportional fractional derivative execution in communication and circuit simulation

2022 ◽  
pp. 207-233
Author(s):  
Najeeb Alam Khan ◽  
Saeed Akbar ◽  
Muhammad Ali Qureshi ◽  
Tooba Hameed
2012 ◽  
Vol 588-589 ◽  
pp. 1251-1254 ◽  
Author(s):  
Jian Liang Zhu ◽  
Chun Yu Yu

In order to generate more complex chaotic attractors, a seven-dimensional chaotic system is constructed, and relevant chaotic attractors can be obtained by Matlab numerical simulation. Lyapunov exponents validate that the system is chaotic. Implementation circuit of this system is designed, and circuit simulation can be done by using Multisim. Circuit simulation result is identical to system simulation completely. Chaotic behavior of the system is proved farther. A new chaotic signal source is provided for practical application based on chaos such as secrecy communication and signal encryption fields.


2013 ◽  
Vol 462-463 ◽  
pp. 706-711
Author(s):  
Guo Hua Li

Analyzing the problem of the existed chaotic masking secure communication, given a new chaotic communication method with the separation between chaos synchronization control signal and chaos modulated signal. A chaotic pilot signal is used independently to synchronize the chaos of the communication transceiver, it is a better solution for the original chaotic communication systems in which the information signal is much smaller than the chaotic modulation signal and anti-noise performance is poor. The circuit simulation based on Sprott system I was built to verify the new method of chaotic communication. Simulation results show that it is more flexible to achieve synchronization between communication terminals, more accurate for chaos synchronization, high performance of anti-noise, and the strength of the information signal is no affected by the chaotic signal.


2018 ◽  
Author(s):  
José Carlos Pedro ◽  
David E. Root ◽  
Jianjun Xu ◽  
Luís Cótimos Nunes

2014 ◽  
Vol 1 ◽  
pp. 458-461
Author(s):  
An-Bang Wang ◽  
Tong Zhao ◽  
Hang Xu ◽  
Na Wang ◽  
Yun-Cai Wang

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