The Weak Signal Detection Based on Chaos and Genetic Algorithms

Weak signals detection using different chaos oscillators such as Duffing systems and Lorenz systems is an effective detection method in low SNR. Genetic algorithms have a lot of applications in the fields of parameters estimation and neighbor searching. Combination two methods to detect weak signal can test lower SNR signal, give a more meaningful chaos prediction and so on. In the paper, the methods of detecting weak sinusoid signal using improved chaos oscillators method is presented, and the nonlinear time series prediction using genetic algorithms is discussed. The simulation result can prove that this methods is effective in weak signal detection.