Print Email Facebook Twitter Relative Kinematics Estimation Using Accelerometer Measurements Title Relative Kinematics Estimation Using Accelerometer Measurements Author Mishra, A. (TU Delft Signal Processing Systems) Rajan, R.T. (TU Delft Signal Processing Systems) Date 2022 Abstract Given a network of N static nodes in D-dimensional space and the pairwise distances between them, the challenge of estimating the coordinates of the nodes is a well-studied problem. However, for numerous application domains, the nodes are mobile and the estimation of relative kinematics (e.g., position, velocity and acceleration) is a challenge, which has received limited attention in literature. In this paper, we introduce a time-varying Grammian-based data model for estimating the relative kinematics of mobile nodes with polynomial trajectories, given the time-varying pairwise distance measurements between the nodes. Furthermore, we consider a scenario where the nodes have on-board accelerometers, and extend the proposed data model to include these accelerometer measurements. We propose closed-form solutions to estimate the relative kinematics, based on the proposed data models. We conduct simulations to showcase the performance of the proposed estimators, which show improvement against state-of-the-art methods. Subject accelerometerEuclidean distance matricesjoint estimationmobile nodesrelative kinematics To reference this document use: http://resolver.tudelft.nl/uuid:df595b7a-f2a9-4f7b-a3cd-ae47cf69deb5 DOI https://doi.org/10.23919/EUSIPCO55093.2022.9909750 Publisher European Signal Processing Conference, EUSIPCO ISBN 9789082797091 Source 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings Event 30th European Signal Processing Conference, EUSIPCO 2022, 2022-08-29 → 2022-09-02, Belgrade, Serbia Series European Signal Processing Conference, 2219-5491, 2022-August Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2022 A. Mishra, R.T. Rajan Files PDF Relative_Kinematics_Estim ... ements.pdf 522.04 KB Close viewer /islandora/object/uuid:df595b7a-f2a9-4f7b-a3cd-ae47cf69deb5/datastream/OBJ/view