文章编号：1002-2082(2024)02-0453-08基于智能跑道光栅阵列传感器的机型辨识方法李盛1，刘安2，郭金鼎2（1.武汉理工大学光纤传感技术与网络国家工程研究中心，湖北武汉430070；2.武汉理工大学信息工程学院，湖北武汉430070）摘要：针对当前机型辨识方法易受环境影响的不足，提出了一种新的基于智能跑道光栅阵列传感器的机型辨识方法。利用光栅阵列横向布置光缆采集飞机滑跑通过时的分布式振动响应，通过分析多测区时程脉冲响应特征，确定主辅起落架通过光缆的时差。通过光栅阵列纵向布置光缆感知飞机的滑行轨迹，采用多项式拟合确定飞机滑行速度。基于飞机主辅起落架的测试值与理论值的匹配关系对飞机型号进行辨识，利用某机场试飞及开航2个月内的航班信息进行方法检验。结果显示，提出的机型辨识方法识别准确率可达98.44％，可以对B757、B738、A320和A321机型进行有效辨识。关键词：机型辨识；智能跑道；光栅阵列；机场中图分类号：TN253;TP212文献标志码：ADOI：10.5768/JAO202445.0208002AircrafttypeidentificationmethodbasedonFBGsensingarrayofsmartrunwayLISheng1，LIUAn2，GUOJinding2（1.NationalEngineeringResearchCenterofFiberOpticSensingTechnologyandNetworks,WuhanUniversityofTechnology,Wuhan430070,China；2.SchoolofInformationEngineering,WuhanUniversityofTechnology,Wuhan430070,China）Abstract：Aimingattheshortcomingsthatthecurrentaircrafttypeidentificationmethodiseasilyaffectedtoenvironmentalinfluences,anovelaircrafttypeidentificationmethodbasedonfiberopticBragggrating(FBG)sensingarrayofsmartrunwaywasproposed.ThedistributedvibrationresponseoftheaircrafttaxiingwascollectedbyusingtheFBGarrayburiedhorizontallyunderthepavement.Byanalyzingthetime-historyimpulseresponsefeaturesofmultiplemeasurementareas,thetimedifferencesbetweenthemainandauxiliarylandinggearspassingthroughtheopticalcableweredetermined.ThetaxiingtrajectoryoftheaircraftwassensedbytheFBGarrayburiedlongitudinallyunderthepavement,throughwhichthetaxiingspeedoftheaircraftwasdeterminedbypolynomialfitting.Theaircrafttypewasidentifiedbasedonmatchingrelationshipbetweenthetestvalueandthetheoreticalvalueofthemainandauxiliarylandinggearsoftheaircraft.Theaircraftinformationinthetestflighta...
