To improve the navigation accuracy of airship in the disturbance environment of wind field, a navigation algorithm with anti-interference of wind field was studied. Based on building up an error constraints model of the airship velocity in wind field disturbance, a constraints unscented Kalman filter algorithm which resists wind field disturbance was designed. The error constraint vector of airship velocity was determined. To decrease the impact of wind field on positional accuracy of airship, the velocity error was estimated and compensated by the combination of unscented Kalman filter and error constraint vector. The state estimation value of proposed algorithm was proved to be unbiased, and the covariance was less than that of the standard unscented Kalman filter. The proposed algorithm was applied to SINS/CNS/SAR integrated navigation system and conducted simulation, and was compared with the adaptive extended Kalman filter and robust adaptive unscented Kalman filter. The simulation results show that not only the filter performance of the proposed constraints unscented Kalman filter was much better than those of adaptive extended Kalman filtering and robust adaptive unscented Kalman filter, but also the impact of wind filed on positional accuracy of was reduced and the navigation accuracy of airship was improved effectively.