Optical chaos shift keying communication system via neural network-based signal reconstruction
- Citation Author(s):
-
Xiaojing Gao (China University of Geosciences)Yijun Zeng (China University of Geosciences)
- Submitted by:
- Xiaojing Gao
- Last updated:
- DOI:
- 10.21227/1f59-zh81
- Data Format:
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Abstract
The source data files and code files of the paper: optical chaos shift keying communication system via neural network-based signal reconstruction. The following data is included:
1. Source figure file in the paper;
2. Source code of the proposed scheme, include the simulation code for communication, secure analysis and parameter mismatch range.
3. The source Simulink module is included for time-delayed chaotic signal generation.
Instructions:
Basic communication files:
- HighO.slx : Simulink file using fourth-order Runge-Kutta algorithm to solve the system at the transmitter.
- receiver_*.slx : Simulink file for traditional chaos synchronization
- receiver.m : A receiver deploy GRU based discriminator.
- receiver_compare.m : Make comparison defind in Chapter 6. **Notable: the reservoir_decode.m is the RC that mapping the relationships.
Secure analysis
returnmap_attack.m and ACF_DMI.m are the secure analysis code.
Feedback gain & delay mismatch
different_beta.m compared the BER performance of different neural network-based discriminators under different feedback gain, and due to the GRU is better, the result is draw as Figb(a). delay_mismatch_.m compared the BER performance of different neural network-based discriminators. The performance of GRU is draw seperately as Fig_5(a).
