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Aiming at the traditional time frequency analysis method detecting the cyclic weak signal detection has the defects such as the low SNR (signal to noise ratio) and affecting the detection effect, therefore, using the property of strong immunity of Duffing oscillator chaos system, a compound weak signal detection method based on wavelet decomposition and chaos oscillator. Firstly, the signal is decomposed by wavelet transform and operated discretely based on the smooth effect of wavelet transform, and a method for obtaining the numbers of decomposition layers is designed, then the de-noise re-constructed signal is input to the chaos system as the cycle driving force as the doffing oscillator, and the weak signal detection can be realized by chaos doffing, and a adaptive method based on critical state driving force and initial phase. The experiment is operated in the Matlab7 environment and the results shows that the method can implement the weak signal detection, has the high SNR, the frequency of re-constructed signal is nearly the same as the true signal frequency, has the strong feasibility.