Non-line-of-sight sound source localization refers to the technique of achieving accurate sound source positioning in environments with obstacles and occlusions by analyzing acoustic propagation characteristics and applying traditional digital signal processing or deep learning approaches. This technology has a wide range of application prospects in robot navigation， smart home， security monitoring and other fields. This paper presents a comprehensive review of non-line-of-sight sound source localization methods. Building on the fundamental concepts of non-line-of-sight localization， it classifies and discusses existing approaches and research progress according to three main modeling frameworks： Multi-sensor localization models， geometrical acoustics models， and statistical acoustics models. Moreover， this paper summarizes various non-line-of-sight source localization methods， identifies current challenges， and presents promising directions for future research.