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基于模糊决策的激光威胁源识别方法
引用本文:孙中涛,程玉宝,高春颖.基于模糊决策的激光威胁源识别方法[J].红外与激光工程,2005,34(6):641-645.
作者姓名:孙中涛  程玉宝  高春颖
作者单位:电子工程学院,501教研室,安徽,合肥,230037;电子工程学院,601教研室,安徽,合肥,230037
摘    要: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。

关 键 词:激光技术  模糊决策  数据融合  威胁源识别
文章编号:1007-2276(2005)06-0641-05
收稿时间:2005-05-22
修稿时间:2005-06-10

Laser menaces identifying based on fuzzy decision
SUN Zhong-tao,CHENG Yu-bao,GAO Chun-ying.Laser menaces identifying based on fuzzy decision[J].Infrared and Laser Engineering,2005,34(6):641-645.
Authors:SUN Zhong-tao  CHENG Yu-bao  GAO Chun-ying
Affiliation:1.501 Staff Room, Electronic Engineering Institute, Hefei 230037,China ; 2.601 Staff Room,Electronic Engineering Institute, Hefei 230037,China
Abstract:Identification of laser menaces is an important aspect in laser warning and data disposing. The identifying method has direct effect on its veracity. Based on the fact that technique parameters of laser signal have some fuzzy characters in presenting menaces ,a method of identifying laser menaces based on fuzzy decision is presented. The fuzzication mathematical models of laser technique parameters such as laser energy, wavelength,repeat frequency, and fuzzy decision rules library of identifying laser menaces are built, which are set up by using fuzzy decision theory. Professional system of fuzzy decision is designed. Using different kinds of sensors in the laser warning system, parameters such as laser orientation, wavelength,repeat frequency, and characteristic of pulse are acquired. In virtue of the professional system of fuzzy decision, the type of the laser menaces is identified. Simulation result shows that the method can exactly identify the laser menaces , offer references for the study on the other data fusion of and has some practical value. The method can laser warning.
Keywords:Laser technology  Fuzzy decision  Data fusion  Menace identifying
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