Integrated navigation technology is widely used in aviation, aerospace, sailing and other ground-based navigation equipment, the inertial navigation system (INS) is the most common tool. In practice, the key to naviga...
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For mixed-ship scenarios, traditional aircraft have limited ability to extract ship features due to the constraints of observation angles, making it difficult to effectively select the high-value ship targets. In this...
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In order to counteract the impact of passive jamming in unmanned airborne radar for search and attack missions against ships at sea, and to enhance the overall striking effectiveness at the UAV swarm level, a method i...
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In this paper, the engineering problems in scene matching positioning system are studied, according to the scene matching positioning of satellite under the condition of denial, establish a volume of physical model, k...
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The cooperative search strategy is designed with the distributed model predictive method in this paper. For the rationality of decision-making of UAV swarm in different stages of the cooperative search, a dynamic para...
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In order to monitor the health status of the rudder, this paper proposes a health monitoring method based on deep neural network through feature extraction. First, sufficient samples are obtained by data preprocessing...
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In this paper, based on the fusion tracking of infrared and radar, a federated kalman filtering algorithm based on adaptive fault tolerance is designed. According to the observation equation of infrared and radar, a d...
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intelligent aircraft control is an important strategic development trend. Traditional aircraft control algorithms have a strong dependence on the system models, and it is difficult to cope with the increasingly comple...
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Due to the uncertainties and various noises of the Hypersonic Aircraft(HA), traditional method of designing attitude controllers based on accurate models faces immense challenges. To solve those proposed urgent proble...
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Zero-shot detection (ZSD) is a hot topic, which can detect unseen object without training on it. This new approach rises several challenges, e.g., the imbalance between positive and negative data, ambiguity between ba...
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