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This paper uses a Kalman filter with retrospective cost–based input estimation (KF/RCIE) to track maneuvering targets with unknown acceleration. Unlike conventional tracking methods that model the acceleration as a random process, KF/RCIE views the unknown acceleration as a deterministic unknown signal. Retrospective cost optimization is then used to estimate the unknown acceleration. Numerical examples...
In a combat simulation system based on High Level Architecture (HLA), different simulation models are usually called according to different simulation purposes. In order to improve the efficiency of developing different simulation systems, this paper designs and develops a Model Driven Platform of Combat Simulation System (MDPCSS) Based on HLA. MDPCSS drives each entity model through calling its model...
For a deficiency of classic algorithm in constructing motion graph, we propose an improved algorithm and further apply motion graph to the intelligent obstacle avoidance of virtual human. First of all, we introduce an approach for acquiring real human motion data by our active optical motion capture system and solving some related problems we have encountered. Secondly, we present and analyze the...
Military task programming is an important foundation in military warfare simulations. Presently, scenarios in joint military warfare are built not so good to meet the requirement of aggregate-level warfare simulations and the requirement of intelligent decision in real time simulations. A method based on FSM model of aggregate-level military warfare decision-making and vehicle-level action decision-making...
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