Weak Signal Detection Using Chaotic Phase Transition

This study investigates the theory and simulation experiments of weak signal detection through chaotic phase transitions. After analyzing the weak signal detection method based on oscillator initial value sensitivity, we identified that transient processes affect detection performance. We propose a guessing game algorithm as an improved detection approach, with research on simulation input noise generation and step size selection to establish a simulation model. The method detects weak sinusoidal signals under typical noise backgrounds, with experimental results demonstrating...

Theory and Simulation Experiments of Weak Signal Detection Using Chaotic Phase Transition

This study investigates the theory and simulation experiments of weak signal detection through chaotic phase transition. After analyzing the method of detecting weak signals based on oscillator initial value sensitivity, it was identified that transient processes affect detection performance, leading to the proposal of an improved weak signal detection method. By examining simulation input noise generation and step size selection, a simulation model was established to detect weak sinusoidal signals under typical noise backgrounds. Experimental results demonstrated the enhanced detection capability.