Target Combat Intention Recognition Based on Improved Fisher Information Matrix
Ruizhou Gao, Yunhong Ma, Yimin Zhang, Xinyi Li · 2023
Recognizing the opponent’s intention is an important part in situational assessment and make the operation decision. Based on the pattern recognition technology of artificial intelligence, a combat intention recognition algorithm according to the value of Fisher information matrix is proposed. The target’s combat intention knowledge rule base is constructed and the relative Fisher information matrix is designed to evaluate the target’s current state information. The target combat intention recognition problem is transformed into an optimization problem according to the Fisher information matrix. The contribution index is defined to eliminate redundant information during the discrimination process, which improves the accuracy and efficiency of the target combat intention recognition. The proposed algorithm is used on multi-target combat intention recognition and the simulation results verified that the proposed algorithm is effective.