MULTIPLE HYPOTHESIS TRACKING AND JOINT PROBABILISTIC DATA ASSOCIATION FILTERS FOR MULTIPLE SPACE OBJECT TRACKING
Conference Paper
Overview
Identity
Additional Document Info
View All
Overview
abstract
2018 Univelt Inc. All rights reserved. In this paper we study the problem of data association where multiple measurements have to be associated to multiple targets. Specifically, we review and compare the performance of the Joint Probabilistic Data Association(JPDA) Filter and the Multiple Hypothesis Tracking(MHT) Filter in associating measurements with Resident Space Objects (RSO).