Spread spectrum communications based on ergodic chaotic parameter estimation

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This thesis attempts to harness the unique features of chaos theory and evolutionary com­putation to develop novel design methodologies for solving communication system design problems. The contributions of the thesis is two-fold. First, a novel design methodology based on genetic programming and DNA computation to improve the performance of con­ventional communication system was proposed. Second, it develops a non-coherent chaotic spread spectrum system that is robust to channel noise and distortions. The developed scheme has better performance over conventional spread spectrum system in realistic chan­nel environments. The application of the developed scheme to powerline communications in smart home networking was also investigated. Finally, a novel multilevel chaotic commu­nication that performs both modulation and spreading is proposed. Genetic programming was used to design the underlying chaotic system for this communication scheme. Theoret­ical formulations and extensive numerical analysis were performed to show the advantages of these schemes. The research work presented in this thesis can be viewed as a small step towards achieving the aforementioned goal.
Bibliography: p. 102-112
Konavattam Shanmugam, S. (2004). Spread spectrum communications based on ergodic chaotic parameter estimation (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/16542