Chaos Based Communication Systems

This research area investigates the utilization of chaos-based frequency modulated waveforms to achieve dual radar and communication functionalities in both monostatic and bistatic configurations. It focuses on embedding digital information in chaotic pulses, implementing self-synchronization techniques for signal decoding and waveform reconstruction, and optimizing detection performance via nonlinear schemes. This theme is significant due to the growing demand for spectrum sharing and interference mitigation in radar-communication coexistence scenarios.

This theme explores the development of digital communication techniques leveraging chaotic dynamics, including modulation, spreading, and encryption strategies. It covers chaos-based orthogonal frequency division multiplexing with index modulation for enhanced spectral efficiency and robustness, differential chaos shift keying (DCSK) performance in free-space optical (FSO) channels with diversity combining, and integration of chaotic systems with quantum key distribution (QKD) to bolster security over FSO links. Understanding these contributions is crucial for addressing security, fading mitigation, and spectral constraints in next-generation wireless and optical networks.

This theme addresses the utilization of chaotic system synchronization and robust control approaches such as synergetic and genetic algorithms for secure communications. Research spans from experimental realizations using hardware platforms (e.g., Arduino, coupled chaotic circuits) to theoretical frameworks analyzing synchronization under parameter dispersions and time delays. These studies underline the key role of chaos synchronization in achieving secure data encryption, decoding, and transmission in practical and noisy environments, alongside advances in controlling chaotic dynamics to improve communication reliability.