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In order to realize air-ground integration strike capability of the fortification storming/HEAT missiles, with the study background of addition of a laser proximity fuze to the missile, this paper proposes a fuze-guidance integration design method based on combination of image guidance and laser proximity fuze detection. By utilizing the missile-ta...
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... warhead is multifunctional, including fortification storming/HEAT/killing modes, which is composed of the main stage and the follow-up killing stage. See figure 1 for the structure schematic. The two-stage warhead is equipped with tungsten blocks and safety detonation device, which receive the detonation information respectively and detonate independently. ...
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... Therefore, the thesis focuses on the theory and method to improve the burst control accuracy. To solve these problems, an effective method [1] proposed, that is, the guidance and control integration technology. The infrared imaging detector cannot only work at night but also effectively identify the shape characteristics of the target, which plays a vital role in accurate burst control, so infrared imaging technology is widely used in air defence missiles. ...
Aiming at the traditional integrated fuse information fusion method that cannot simultaneously obtain high‐precision burst control parameters such as burst delay time, azimuth angle, and detection angle, the infrared imaging detector and range finder information fusion method based on particle filtering with BAS algorithm is proposed. Under the centralized information fusion structure that can obtain higher accuracy, first, use a faster linear interpolation method to realize the time alignment of the two asynchronous sensors. Second, for the strong non‐linear observation model in the missile target rendezvous model, use a particle filter framework that is not affected by the nonlinearity of the system function and non‐gaussian noise. Finally, Utilizing the single search BAS algorithm with low computational complexity to solve the problem of particle degradation in particle filtering and improve the accuracy of burst control. The experiment shows that in a typical simulation environment, the optimized information fusion method improves the burst delay time accuracy by 61.82%, azimuth accuracy by 66.28%, detection angle accuracy by 36.15%, and simulation time is shorter compared to traditional methods.
The appropriate fuze-warhead coordination method is important to improve the damage efficiency of air defense missiles against aircraft targets. In this paper, an adaptive fuze-warhead coordination method based on the Back Propagation Artificial Neural Network (BP-ANN) is proposed, which uses the parameters of missile-target intersection to adaptively calculate the initiation delay. The damage probabilities at different radial locations along the same shot line of a given intersection situation are calculated, so as to determine the optimal detonation position. On this basis, the BP-ANN model is used to describe the complex and highly nonlinear relationship between different intersection parameters and the corresponding optimal detonating point position. In the actual terminal engagement process, the fuze initiation delay is quickly determined by the constructed BP-ANN model combined with the missile-target intersection parameters. The method is validated in the case of the single-shot damage probability evaluation. Comparing with other fuze-warhead coordination methods, the proposed method can produce higher single-shot damage probability under various intersection conditions, while the fuze-warhead coordination effect is less influenced by the location of the aim point.
