One algorithm for integrated navigation based on photoelectric scanning and strapdown inertial navigation system (SINS) is proposed. Based on the actual measurement results, the time series analysis of wMPS dynamic measurement data is established, and it is proved that a first-order autoregressive process can be applied to model the wMPS dynamic measurement errors. Based on the SINS error model and the time series analysis result of the wMPS dynamic measurement data, the Kalman filtering model of indoor integrated navigation system is established, and the algorithm simulation experiment is conducted. The simulation results indicate that the integrated navigation system simultaneously possess the advantages of high data rate of SINS and high precision of wMPS. The whole performance of this system is significantly enhanced.