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In order to improve the location accuracy of Ultra Wide Band (UWB) in non-line of sight (NLOS) environment, a method to degrade NLOS error was proposed. Firstly, a TDOA (time difference of arrival) position model in NLOS environment was reconstructed. Secondly, statistical model of root mean square delay expansion under non-line-of-sight conditions was deduced and the mean and variance of the NLOS error were obtained, and the measurements of TDOA were reconstructed. Finally, the least square method is employed to get the initial location of the PSO (particle swarm optimization) and the PSO method is used to estimate the location of the objective node. And The inertia weight is based on Gaussian function in the iterative process of PSO. The simulation results show that the proposed optimization algorithm can effectively suppress NLOS errors in the complex indoor environment and further improve the positioning accuracy and convergence rate of the algorithm.