Information Submanifold Based on SPD Matrices and Its Applications to Sensor Networks

In this paper, firstly, manifoldPD(n)consisting of alln×nsymmetric positive-definite matrices is introduced based on matrix information geometry; Secondly, the geometrical structures of information submanifold ofPD(n)are presented including metric, geodesic and geodesic distance; Thirdly, the inform...

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Main Authors: Hao Xu, Huafei Sun, Aung Naing Win
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/19/3/131
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author Hao Xu
Huafei Sun
Aung Naing Win
author_facet Hao Xu
Huafei Sun
Aung Naing Win
author_sort Hao Xu
collection DOAJ
description In this paper, firstly, manifoldPD(n)consisting of alln×nsymmetric positive-definite matrices is introduced based on matrix information geometry; Secondly, the geometrical structures of information submanifold ofPD(n)are presented including metric, geodesic and geodesic distance; Thirdly, the information resolution with sensor networks is presented by three classical measurement models based on information submanifold; Finally, the bearing-only tracking by single sensor is introduced by the Fisher information matrix. The preliminary analysis results introduced in this paper indicate that information submanifold is able to offer consistent and more comprehensive means to understand and solve sensor network problems for targets resolution and tracking, which are not easily handled by some conventional analysis methods.
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spelling doaj.art-0d439dc6b9094eada83027a4fa7266762022-12-22T01:58:20ZengMDPI AGEntropy1099-43002017-03-0119313110.3390/e19030131e19030131Information Submanifold Based on SPD Matrices and Its Applications to Sensor NetworksHao Xu0Huafei Sun1Aung Naing Win2The School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, ChinaThe School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, ChinaThe School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, ChinaIn this paper, firstly, manifoldPD(n)consisting of alln×nsymmetric positive-definite matrices is introduced based on matrix information geometry; Secondly, the geometrical structures of information submanifold ofPD(n)are presented including metric, geodesic and geodesic distance; Thirdly, the information resolution with sensor networks is presented by three classical measurement models based on information submanifold; Finally, the bearing-only tracking by single sensor is introduced by the Fisher information matrix. The preliminary analysis results introduced in this paper indicate that information submanifold is able to offer consistent and more comprehensive means to understand and solve sensor network problems for targets resolution and tracking, which are not easily handled by some conventional analysis methods.http://www.mdpi.com/1099-4300/19/3/131symmetric positive-definite matricesinformation submanifoldgeodesic distanceinformation resolution
spellingShingle Hao Xu
Huafei Sun
Aung Naing Win
Information Submanifold Based on SPD Matrices and Its Applications to Sensor Networks
Entropy
symmetric positive-definite matrices
information submanifold
geodesic distance
information resolution
title Information Submanifold Based on SPD Matrices and Its Applications to Sensor Networks
title_full Information Submanifold Based on SPD Matrices and Its Applications to Sensor Networks
title_fullStr Information Submanifold Based on SPD Matrices and Its Applications to Sensor Networks
title_full_unstemmed Information Submanifold Based on SPD Matrices and Its Applications to Sensor Networks
title_short Information Submanifold Based on SPD Matrices and Its Applications to Sensor Networks
title_sort information submanifold based on spd matrices and its applications to sensor networks
topic symmetric positive-definite matrices
information submanifold
geodesic distance
information resolution
url http://www.mdpi.com/1099-4300/19/3/131
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AT huafeisun informationsubmanifoldbasedonspdmatricesanditsapplicationstosensornetworks
AT aungnaingwin informationsubmanifoldbasedonspdmatricesanditsapplicationstosensornetworks