Since S-wave velocity of the subsurface is an important parameter in near surface applications, many studies have been conducted for its estimation. Among the various methods that use surface waves or body waves, Rayleigh wave inversion is the most popular. In practice, the densities and P-wave velocities of different layers are usually assumed to be known to avoid ill-posed problems, as they have less influence on the dispersion curves. However, improper assignment of these two groups of parameters leads to inaccurate estimation of the S-wave velocity profile. In order to address this problem, the all-parameters Rayleigh wave inversion strategy is proposed in which the S-wave velocities, layer thicknesses, densities and P-wave velocities of different layers are included as the unknown parameters for inversion. Meanwhile, the transitional Markov Chain Monte Carlo (TMCMC) algorithm is applied for the implementation of all-parameters Rayleigh wave inversion. One simulated example and two real-test applications are demonstrated to verify the capability of the proposed method in the estimation of the S-wave velocity profile, the densities and the P-wave velocities. Furthermore, it is verified that the proposed method achieved more accurate S-wave velocity profile estimation than the traditional approach.

由于地下的S波速度是近地应用中的重要参数，因此进行了许多研究以对其进行估算。在使用表面波或体波的各种方法中，瑞利波反演最为流行。实际上，通常假定不同层的密度和P波速度是已知的，以避免不适定的问题，因为它们对色散曲线的影响较小。但是，这两组参数的不正确分配会导致S波速度剖面的估计不准确。为了解决这个问题，提出了全参数瑞利波反演策略，其中包括不同层的S波速度，层厚，密度和P波速度作为未知的反演参数。同时，过渡马尔可夫链蒙特卡罗（TMCMC）算法用于实现全参数瑞利波反演。演示了一个仿真示例和两个实际测试应用程序，以验证所提出方法在估计S波速度剖面，密度和P波速度方面的能力。此外，证实了所提出的方法比传统方法实现了更准确的S波速度剖面估计。