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Correlation properties of binary spatiotemporal chaotic sequences and their application to multiple access
X Yongxiang1, S Xiuming, R Yong
1State Key Laboratory on Microwave and Digital Communications, Department of Electronic Engineering, Tsinghua University, Beijing 100084, People's Republic of China. xiayx00@mails.tsinghua.edu.cn
Binary spatiotemporal chaotic sequences generated by coupled map lattices exhibit excellent randomlike properties. These sequences are suitable for spread spectrum multiple access (SSMA) communications, offering comparable performance to Gold sequences but with higher capacity.
Area of Science:
- Chaos theory
- Information theory
- Telecommunications
Background:
- Coupled map lattices are used to generate complex dynamical systems.
- Spread spectrum multiple access (SSMA) requires robust spreading sequences.
- Existing sequences like Gold sequences have limitations in capacity.
Purpose of the Study:
- To investigate the correlation and spectral properties of binary spatiotemporal chaotic sequences.
- To evaluate the suitability of these chaotic sequences for SSMA communications.
- To analyze multiple access interference in a white Gaussian noise environment.
Main Methods:
- Generation of binary spatiotemporal chaotic sequences using a one-way coupled map lattice.
- Analysis of correlation properties and spectral density.
- Mathematical modeling and simulation of SSMA systems with chaotic sequences.
- Comparison of performance against Gold sequences.
Main Results:
- Chaotic sequences demonstrate excellent randomlike properties.
- Performance in SSMA systems is comparable to Gold sequences.
- Chaotic sequences offer higher capacity and complexity.
- Formulas for multiple access interference in a Gaussian noise background were derived.
Conclusions:
- Binary spatiotemporal chaotic sequences are viable candidates for SSMA spreading sequences.
- These sequences provide a balance of performance, capacity, and complexity.
- The study validates their potential for advanced communication systems.
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