| As an important application in the domain of array signal processing,sound source localization based on microphone array has a broad application prospect in many domains such as artillery azimuth reconnaissance,sniper position tracking,intelligent robots,and video conference.However,in practical applications,the noise and reverberation in the environment will greatly affect the accuracy of sound source location.How to overcome the interference of noise and reverberation to achieve high precision sound source localization is still a big challenge in the field of sound source localization study.In order to further improve the accuracy of sound source localization,this thesis studies the sound source localization method based on microphone array in indoor environment and its system implementation.Aiming at the current three mainstream methods of microphone array sound source localization,this thesis adopts the localization method based on time delay estimation as the core method of sound source localization,considering the comprehensive practicability,computational complexity,and localization accuracy.The main contents of this thesis are as follows:(1)An improved time delay estimation algorithm is proposed.Aiming at the problem of low time delay estimation accuracy of the classic generalized cross-correlation(GCC)under noise and reverberation conditions,a new phase smoothed coherence(PHSC)weighting function is introduced,and an improved algorithm GCC-PHSC based on GCC is proposed.The experimental results show that the time delay estimation accuracy of the proposed algorithm proposed is high,and it can effectively suppress the influence of noise and reverberation on the time delay estimation.(2)A sound source position estimation algorithm based on a five-element cross-shaped microphone array is proposed.According to the five-element cross-shaped microphone array structure designed in this thesis,based on the derivation of the geometric positioning algorithm of the microphone array,the sound source position is determined.The experimental results show that the position estimation algorithm proposed in this thesis can effectively reduce the estimation error,and its positioning accuracy is high.(3)A set of five-element cross-shaped microphone array sound source localization system is designed and developed.The sound source localization test is carried out in the actual indoor environment and the error analysis of the localization results is carried out.The test results show that the sound source localization system designed in this thesis can meet the expected design requirements under the conditions of actual noise and reverberation,and its sound source localization accuracy is high. |