{"title":"Emitter localization based on angle of arrival measurements using digital terrain elevation data","authors":"Burcu Tufan, A. Bayri","doi":"10.1109/SIU.2012.6204674","DOIUrl":null,"url":null,"abstract":"In this paper, passive localization of an emitter by using its estimated azimuth and elevation angles, with a single moving platform is analyzed. Beyond angle of arrival measurements, the distance between target and platform is estimated by using stored digital terrain elevation data (DTED) and a better performance is achieved compared to the direction-finding (DF) only method. Location estimates found by different DF lines are combined by minimizing a defined cost function. Since this problem has not a closed-form solution, two different search algorithms are used: grid search and particle swarm optimization (PSO). Speed and performance of these two algorithms are compared. After initial position of the target is estimated, with a new measurement (azimuth and elevation angle), and the estimated distance information by using these measurements, target position is updated with Kalman filter.","PeriodicalId":256154,"journal":{"name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 20th Signal Processing and Communications Applications Conference (SIU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2012.6204674","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
In this paper, passive localization of an emitter by using its estimated azimuth and elevation angles, with a single moving platform is analyzed. Beyond angle of arrival measurements, the distance between target and platform is estimated by using stored digital terrain elevation data (DTED) and a better performance is achieved compared to the direction-finding (DF) only method. Location estimates found by different DF lines are combined by minimizing a defined cost function. Since this problem has not a closed-form solution, two different search algorithms are used: grid search and particle swarm optimization (PSO). Speed and performance of these two algorithms are compared. After initial position of the target is estimated, with a new measurement (azimuth and elevation angle), and the estimated distance information by using these measurements, target position is updated with Kalman filter.