María M. Hoffmann, Pilar García Gorostiaga, S. A. Rodríguez González
{"title":"利用三维雷达数据确定飞机轨迹","authors":"María M. Hoffmann, Pilar García Gorostiaga, S. A. Rodríguez González","doi":"10.1109/RPIC53795.2021.9648494","DOIUrl":null,"url":null,"abstract":"The current study outlines the design of a Kalman filter for tracking and trajectory reconstruction using 3D radar data. A brief discussion of the dynamical model of aircraft motion is presented, and an insight of the measurement model as well. The paper includes some reconstructed trajectories but also some assessments performed to the algorithm, showing how corrupted data affect the predicted trajectory.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Aircraft Trajectory Determination with Three-dimensional Radar Data\",\"authors\":\"María M. Hoffmann, Pilar García Gorostiaga, S. A. Rodríguez González\",\"doi\":\"10.1109/RPIC53795.2021.9648494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current study outlines the design of a Kalman filter for tracking and trajectory reconstruction using 3D radar data. A brief discussion of the dynamical model of aircraft motion is presented, and an insight of the measurement model as well. The paper includes some reconstructed trajectories but also some assessments performed to the algorithm, showing how corrupted data affect the predicted trajectory.\",\"PeriodicalId\":299649,\"journal\":{\"name\":\"2021 XIX Workshop on Information Processing and Control (RPIC)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 XIX Workshop on Information Processing and Control (RPIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RPIC53795.2021.9648494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XIX Workshop on Information Processing and Control (RPIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RPIC53795.2021.9648494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aircraft Trajectory Determination with Three-dimensional Radar Data
The current study outlines the design of a Kalman filter for tracking and trajectory reconstruction using 3D radar data. A brief discussion of the dynamical model of aircraft motion is presented, and an insight of the measurement model as well. The paper includes some reconstructed trajectories but also some assessments performed to the algorithm, showing how corrupted data affect the predicted trajectory.
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