Energy analysis of a class of nonlinear detection systems with chaotic oscillators

In areas of weak signal detection, considering the algorithm complexity and huge computation in phase transition identification of Duffing oscillator, a novel method based on energy distribution was proposed in this paper. Firstly, chaotic detection theory was analysised, then Teager Energ Operator was associated with nonlinear dynamic theory, which makes symbol identification achievable. Finally, the robustness and real-time property of the algorithm were analyzed. Simulation results show that, compared with the traditional methods, the computation and real-time property of this method has significantly improved to meet the needs of the weak signal detection under the strong noise background.