基于交互式多模型的机动目标跟踪算法研究的中期报告摘要机动目标跟踪是目标识别、追踪和定位的一个重要研究方向。本文基于交互式多模型的机动目标跟踪算法，对该算法进行了研究，并给出了中期报告。首先介绍了机动目标跟踪的应用背景和研究意义，然后阐述了交互式多模型的机动目标跟踪算法原理及其流程，比较了该算法与传统的单一模型跟踪算法的优势和不足，同时对跟踪数据集和评价指标进行了介绍。接着，给出了目前算法实现情况，并对实验结果进行了分析和总结。最后，提出了下一步的研究计划和工作安排。关键词：机动目标跟踪；交互式多模型；跟踪算法；评价指标；实验结果AbstractManeuveringtargettrackingisanimportantresearchdirectionfortargetidentification,tracking,andpositioning.Basedontheinteractivemultiplemodelmaneuveringtargettrackingalgorithm,thispaperconductsresearchandgivesamidtermreport.Firstly,theapplicationbackgroundandresearchsignificanceofmaneuveringtargettrackingareintroduced.Then,theprincipleandprocessofinteractivemultiplemodelmaneuveringtargettrackingalgorithmareexpounded,andtheadvantagesanddisadvantagesofthisalgorithmarecomparedwithtraditionalsinglemodeltrackingalgorithm,atthesametime,thetrackingdatasetandevaluationindexareintroduced.Furthermore,thecurrentimplementationstatusofthealgorithmisgiven,andtheexperimentalresultsareanalyzedandsummarized.Finally,thenextresearchplanandworkarrangementareproposed.Keywords:maneuveringtargettracking;interactivemultiplemodel;trackingalgorithm;evaluationindex;experimentalresultsIntroductionManeuveringtargettrackingisachallengingtaskduetothecomplexmotionmodels,changingtargetcharacteristicsandenvironmentalconditions.Itiswidelyusedinmilitarysurveillance,remotesensing,trafficmonitoringandotherfields.Thetraditionalsinglemodeltrackingalgorithmhascertainlimitationsintrackingmaneuveringtargets.Inrecentyears,theinteractivemultiplemodel(IMM)algorithmhasbeenproposedandappliedtothemaneuveringtargettrackingproblem.TheIMMalgorithmcantracktargetswithdifferentmotionmodelsbycombiningmultipleKalmanfilters.Thecombinationweightsofdifferentmodelsareupdatedbythelikelihoodofthemeasurementinnovationvector.Inthisreport,weconductresearchontheIMMmaneuveringtargettrackingalgorithmandgiveamidtermreport.Firstly,weintroducetheapplicationbackgroundandresearchsignificanceofmaneuveringtargettracking.Secondly,weexpoundtheprincipleandprocessoftheI