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双模制导是导弹武器系统实现精确打击的关键技术之一,对双模制导跟踪融合算法进行优化研究具有一定的理论价值和工程应用价值。根据红外/毫米波雷达双模制导跟踪融合算法的工程应用要求,从算法的实时性、鲁棒性、抗干扰性等要求出发,设计了跟踪融合算法优化方案:一是构造基于特征层的空情特征,并利用决策层提供的决策可信度因子,对跟踪融合算法进行了相应改进;二是根据模糊神经网络及双模传感器在飞行中的不同特征提供的决策信息,对跟踪融合算法进行了优化调用。进行了相应的仿真分析,证明了方案的可行性。
Bimodal guidance is one of the key technologies to achieve accurate strike of missile weapon system. It has certain theoretical value and engineering application value to optimize the dual-guided tracking fusion algorithm. According to the requirements of engineering application of infrared / millimeter-wave radar dual-mode tracking fusion algorithm, the optimization of tracking fusion algorithm is designed based on the real-time, robustness and anti-interference of the algorithm. Secondly, based on the decision-making information provided by the different characteristics of the fuzzy neural network and the dual-mode sensor in flight, the tracking fusion algorithm is carried out Optimized call. The corresponding simulation analysis is carried out to prove the feasibility of the scheme.