{"title":"Track-Oriented MHT with Unresolved Measurements","authors":"S. Coraluppi, C. Carthel","doi":"10.1109/SDF.2019.8916657","DOIUrl":null,"url":null,"abstract":"This paper first validates that the track-oriented multiple-hypothesis tracking recursion holds in the case of state-dependent detection probabilities, as is generally assumed. Next, we seek to extend the track-oriented multiple-hypothesis tracking recursion to allow for unresolved measurements. The formulation requires some simplifying assumptions, including an assumption that targets be resolved at birth and a restriction on the size of unresolved target clusters. The tracking recursion requires some approximation to admit track-oriented (factored) form, and leads to a nonlinear optimization problem. We discuss a multi-stage architecture that provides a simpler and more robust processing approach for practical settings.","PeriodicalId":186196,"journal":{"name":"2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SDF.2019.8916657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper first validates that the track-oriented multiple-hypothesis tracking recursion holds in the case of state-dependent detection probabilities, as is generally assumed. Next, we seek to extend the track-oriented multiple-hypothesis tracking recursion to allow for unresolved measurements. The formulation requires some simplifying assumptions, including an assumption that targets be resolved at birth and a restriction on the size of unresolved target clusters. The tracking recursion requires some approximation to admit track-oriented (factored) form, and leads to a nonlinear optimization problem. We discuss a multi-stage architecture that provides a simpler and more robust processing approach for practical settings.