Ho Jae Kim, Geun-Ho Park, Dong-Gyu Kim, Hyoung-Nam Kim
{"title":"Analysis of Bistatic Range and Velocity Tracking Performance according to Dynamic Models in Passive Bistatic Radar","authors":"Ho Jae Kim, Geun-Ho Park, Dong-Gyu Kim, Hyoung-Nam Kim","doi":"10.1145/3192975.3193012","DOIUrl":null,"url":null,"abstract":"This paper analyzes the bistatic range and velocity tracking performance of a target according to the dynamic model of the Kalman filter in a passive bistatic radar (PBR). The bistatic range and velocity can be derived using the time difference and Doppler frequency, respectively. In order to improve the detection performance of the location and velocity of the target in the PBR, time difference and Doppler frequency need to be precisely estimated. This can be achieved by tracking the state of an object with the use of a Kalman filter, the tracking performance of which is affected by the used dynamic model. In this paper, constant velocity model and constant acceleration model are used for analyzing the tracking performance of bistatic range and velocity obtained by the Kalman filter in target movement with constant velocity and acceleration.","PeriodicalId":128533,"journal":{"name":"Proceedings of the 2018 10th International Conference on Computer and Automation Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 10th International Conference on Computer and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3192975.3193012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper analyzes the bistatic range and velocity tracking performance of a target according to the dynamic model of the Kalman filter in a passive bistatic radar (PBR). The bistatic range and velocity can be derived using the time difference and Doppler frequency, respectively. In order to improve the detection performance of the location and velocity of the target in the PBR, time difference and Doppler frequency need to be precisely estimated. This can be achieved by tracking the state of an object with the use of a Kalman filter, the tracking performance of which is affected by the used dynamic model. In this paper, constant velocity model and constant acceleration model are used for analyzing the tracking performance of bistatic range and velocity obtained by the Kalman filter in target movement with constant velocity and acceleration.