Aiming at a series of disruptive technology research and development projects carried out by the U.S. Army around the concept of Mosaic Warfare in recent years. A knowledge graph of Mosaic Warfare projects has been constructed to intuitively show their relationships， and a concrete analysis has been made from three aspects：technology transfer， year of implementation and technology application. The research results of some projects are deeply excavated and described， and research characteristics of Mosaic Warfare are summarized. The study reveals that U.S. military research on Mosaic Warfare technologies focuses on five key areas： architecture， command and control， communication networking， platforms and weapons， and basic technologies. There is a strong technological continuity between projects implemented in different years， that is， the research results of a project is often the technology accumulation of follow-up projects. In addition， the Mosaic Warfare technologies are highly oriented， and most of the projects clearly point to a certain service/department or multi-service application， which shows the U.S. military’s determination to achieve Mosaic Warfare.

In the intelligent war,building a “computer brain” that can understand, think and cooperate with human is one of the development directions of the future C⁴ISR system.The design concept of C⁴ISR system architecture for human-computer fusion is proposed,which is the transfer of human intelligence to computer intelligence.The core elements of the system composition such as the game confrontation deduction environment is designed innovatively.The operational mechanisms before and during the war are elaborated.The C⁴ISR system architecture paradigm of human-computer fusion is formed.Finally,taking intelligent target recognition and weapon control as an example, using the Department of Defense Architecture Framework (DoDAF) and the architecture design tool,the application process of the architecture paradigm in the next generation system design is described.

To improve the accuracy and stability of the BDS/GPS combined positioning system, the high-degree cubature Kalman filter (CKF) is applied to the estimation of the positioning parameters, and the diagonalization of matrix (DM) transformation is used to replace the Cholesky decomposition in the standard high degree CKF. Through the DM transformation, the square root matrix of the covariance matrix has more accurate state statistics and retains the characteristics of the original feature space information, and improves the filtering accuracy. The covariance matrix of DM transformation does not require positive definite, so the stability of filtering is enhanced. The test results show that the filtering algorithm is effective and feasible for improving the positioning accuracy and stability.

For the problem of communication support for the mission of aircraft formation, the connectivity of the network is ensured by way of adding relay nodes according to the characteristics of airborne hierarchical network. A relay route planning method for connectivity of airborne hierarchical network is presented. Taking aircraft mission routes as input, the method optimizes the spanning tree by comparing whether the connected component of the vertex of the edge in minimum spanning tree (MST) is the same as the previous time. The relay segment vectors are connected with the degree of the vertex of the relay segment vectors and the motion time of the relay nodes between two relay segment vectors as the joint weight. Simulation demonstrates that the proposed method can achieve the reuse of relay nodes in time and space. Compared with the traditional algorithm, the method can effectively reduce the number of relay nodes, and achieve the optimization of relay node routes.