Research On Joint Noise Reduction Technology For Tone-noise Speech Signal In Turbulent Channel

Speech noise reduction is one of the key technologies of turbulence channel laser voice detection system.The noise reduction of the turbulence channel laser speech detection system needs to solve the dual problem of weak signal noise suppression and speech signal noise suppression.This paper analyzes the dynamics of noise reduction at home and abroad,and puts forward the joint noise reduction algorithm of wavelet combined with adaptive noise reduction noise reduction algorithm,and put forward the corresponding index.Through theoretical analysis,simulation and hardware implementation,the joint Noise Reduction Algorithm is verified and the results are analyzed.In the theoretical analysis stage,the noise source and the suppression method of the turbulence channel noise are analyzed.At the same time,the basic characteristics of the speech signal are analyzed,and the principle and characteristics of the commonly used noise reduction technology are introduced.The joint noise reduction algorithm of the wavelet noise reduction combined with adaptive noise reduction is proposed.In the simulation verification phase,the wavelet threshold noise reduction method is used in this paper,and the realization principle and related parameters are discussed.Then,the adaptive noise reduction technology is introduced and the LMS noise reduction is selected.The algorithm is used as the adaptive noise reduction method in this paper,and then the realization process of LMS noise reduction algorithm is explained.Finally,the performance advantage of joint noise reduction algorithm is proved by matlab simulation results.In the experimental verification phase,the design of the hardware platform is described,and the experimental data are collected and validated by the data.The experimental results show that the joint noise reduction algorithm proposed in this paper can effectively improve the quality of turbulence channel noisy speech signal.