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A new approach to improve novel chaotic systems for weak signal detection applications

2016
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Advisor: Doç. Dr. Yılmaz Uyaroğlu

Abstract (EN)

In this thesis, a new approach to improve novel chaotic systems for weak signal detection applications is presented. The new weak signal detection method based on chaos is different from standart weak signal detection metod in the literature. Two novel chaotic systems, which are suitable for high level weak signal detection applications, are improved by this way. In the thesis, two novel sinusoidal attractors, which are improved by the new metod, are presented. These new systems have simple stracture, parametric variety and high applicability. Dynamic characteristics of the novel systems are studied detailed. Furthermore, dynamic characteristics of Duffing-Holmes, Van Der Pol and two hyperchaotic Lorenz systems are also studied. Firstly, the relationship between the system state and amplitude of the forcing term is defined by examining the Lyapunov exponents of the systems. Dynamical behaviors of these chaotic systems are observed by this way. Secondly, the critical threshold values of these chaotic systems are determined by the bifurcation analysis. This critical value named as critical bifurcation point is a suitable one to detect weak signal which is submerged in strong noise. Furthermore, electronic circuits of the novel chaotic attractors are designed and simulated. Finally, weak signal detection applications of the novel systems are studied. Simulation results indicate that these novel systems can detect weak signal with high detection accuracy and low signal to noise ratio (SNR). These systems can also detect weak signal in high frequencies. Weak signal detection applications of Duffing-Holmes, Van Der Pol and two hyperchaotic Lorenz systems are also studied. Matlab-Simulink® and OrCAD-PSpice® simulation results prove the correctness of the theorycal analysis of studied systems. These improved novel systems are potential sistems to detect weak echo signals, which are non-destructive detection devices of industrial metal materials, metal detectors and electromagnetic acustic transducers.

Author

Dr. Abdullah Gökyıldırım

How to Cite

Abdullah Gökyıldırım (Doctorate thesis). A new approach to improve novel chaotic systems for weak signal detection applications, 2016, Sakarya University.

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