The conventional multi-path coherent source moving target location method focuses on signal processing. Although it reduces the location interference, part of the sound source information may become invalid, affecting the location accuracy. Therefore, a joint localization algorithm based on DOA clustering algorithm for multi-path coherent source moving target and multiple sound sources is designed. Map the DOA sound source feature interval of the moving target of multi-path coherent source, extract the DOA feature of the multi-path coherent source from the received signal, and provide basic conditions for subsequent sound source localization. Based on the DOA clustering algorithm, a joint localization model of multiple sound sources of source moving targets is constructed. With DOA characteristics as the basic condition, different sound source signals are separated through the clustering algorithm to ensure the accuracy of source moving target localization. Solve the optimal vector of multi sound source coherent source moving target joint positioning array, determine the optimal position of each sound source receiving point in the source moving array, and achieve multi sound source joint precise positioning. Simulation experiments show that the algorithm has higher positioning accuracy and can be applied in real life.