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:
Fri, 04/18/2025 - 06:01
DOI:
10.21227/1f59-zh81
Data Format:
License:
0
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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: 

This file is the source code and source simulink modules of the proposed scheme

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).

Dataset Files

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