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激光威胁源识别是激光告警数据处理的一个重要方面,识别方法直接影响着识别结果的准确性。基于激光信号各技术参数在表明威胁源时都具有一些模糊性的特点,提出了一种基于模糊决策的激光威胁源识别方法。通过运用模糊决策理论,建立了激光能量、波长、重频等技术参数的模糊化数学模型和激光威胁源识别的模糊决策规则库,设计出模糊决策专家系统。在激光告警系统使用不同类型传感器,获得激光波长、重频和脉冲特性等技术参数后,可借助此模糊决策专家系统,判明激光威胁源的类型。仿真结果表明:该方法能够准确快捷地实现激光威胁源的识别,具有一定的应用价值,且可为激光告警的其他数据融合研究提供参考。
Laser threat source identification is an important aspect of laser alarm data processing. The recognition method directly affects the accuracy of recognition results. Based on the fact that each technical parameter of the laser signal has some fuzziness in indicating the threat source, a method of laser threat source identification based on fuzzy decision is proposed. By using the fuzzy decision theory, a fuzzy mathematical model of laser energy, wavelength, repetition rate and other technical parameters and a fuzzy decision rule base for laser threat source identification are established, and a fuzzy decision expert system is designed. After the laser warning system uses different types of sensors to obtain the technical parameters of laser wavelength, repetition rate and pulse characteristics, the type of laser threat source can be identified by using the fuzzy decision-making expert system. Simulation results show that this method can accurately and quickly identify the source of laser threat and has certain application value, and can provide reference for other data fusion research of laser warning.