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双模导引头为制导系统提供的目标信息存在很大的不确定性,辨别目标跟踪信息的有效性是双模制导系统中的关键环节。为此本文提出了将描述跟踪目标信息不确定性的模糊推理规则转化为神经网络的方法,解决了常规模糊逻辑推理系统处理导引头跟踪信息耗时长的问题。试验结果表明,该方法能实现对导引头目标跟踪信息的快速、准确判别,故满足了雷达/红外双模制导系统的要求。
The dual-mode seeker has great uncertainty for the target information provided by the guidance system. Identifying the validity of the target tracking information is a key link in the dual-mode guidance system. Therefore, this paper presents a method of transforming fuzzy inference rules describing the uncertainty of tracking target information into neural networks, and solves the problem that the traditional fuzzy logic inference system processes time-consuming tracking information of seeker. Experimental results show that this method can achieve fast and accurate discrimination of seeker target tracking information, and thus meet the requirements of radar / infrared dual-mode guidance system.