To solve the problem of asynchronism of sensors′ outputs in integrated navigation systems a novel INS/GNSS/CNS integrated federated filtering algorithm based on dynamic vector formed information distribution is proposed. Based on the operating character of the subsystems, an INS/GNSS position integrated model and an INS/CNS velocity integrated model are analysed and designed as the federated filtering model. And the filtering accuracy is improved by using the dynamic vector formed information distribution algorithm. To solve the problem of asynchronism in measurement, an asynchronous incoordinate interval algorithm is proposed, and the filtering period is divided into time update period and measurement update period．Simulation results indicate that this algorithm can effectively implement the asynchronism fusion of the information from INS, GNSS and CNS. Comparing with the general asynchronism federated filter, the proposed algorithm has significant improvement in estimation accuracy and important application value.