Traditional spectrum sensing methods are susceptible to noise fluctuati ons and have poor detection accuracy under wireless communication conditions with low signal -to-noise ratio. The anti-noise performance and detection accuracy of traditional spectrum sensi ng methods can be effectively improved by combining the lifting wavelet denoising and dynamic thre shold energy detection algorithm.First,perform odd and even sampling of the noisy signal,d ecompose the noise signal,remove the noise part,and reconstruct it into a new signal withou t noise,then use the energy detection method to count the energy accumulation of the signal,set the dynamic threshold, and finally use the dynamic threshold to determine whether the primary user sign al exists.Lifting wavelet denoising can effectively remove the noise in the sampled signal and red uce the influence of noise on the detection accuracy of the energy detection method.The dynamic t hreshold can be adjusted according to noise fluctuations to adapt to the complex noise environme nt.The simulation results show that the lifting wavelet denoising combined with dynamic threshold energy detection algorithm has better detection accuracy than traditional spectr um sensing methods.This method improves its resistance to uncertain noise,enables it to a dapt to complex communication environment,and also improves the reliability of spectrum sensing process.