A robust fusion estimation with unknown cross-covariance in distributed systems

A robust fusion estimation with unknown cross-covariance in distributed systems

Abstract An efficient robust fusion estimation (RFE) for distributed fusion system without knowledge of the cross-covariances of sensor estimation errors is suggested. With the hypothesis that the object lying in the intersection of some ellipsoids related to sensor estimations, the robust fusion es...

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Main Authors: Duzhi Wu, Aiping Hu
Format: Article
Language:English
Published: SpringerOpen 2019-09-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Robust fusion
Distributed fusion
Positive semi-definite relaxation
Online Access:http://link.springer.com/article/10.1186/s13634-019-0640-6
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spelling doaj-eac8c836852742b29379ce8ff3ef33262020-11-25T03:14:14ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61802019-09-012019111610.1186/s13634-019-0640-6A robust fusion estimation with unknown cross-covariance in distributed systemsDuzhi Wu0Aiping Hu1Rongzhi College of Chongqing Technology and Business UniversityCollege of Science, Chongqing University of TechnologyAbstract An efficient robust fusion estimation (RFE) for distributed fusion system without knowledge of the cross-covariances of sensor estimation errors is suggested. With the hypothesis that the object lying in the intersection of some ellipsoids related to sensor estimations, the robust fusion estimation is designed to be a minimax problem, which is solved by proposing a novel relaxation strategy. Some properties of the RFE are discussed, and numerical simulations are also present to compare the tracking performance of RFE with that of the centralized fusion and CI method. The numerical examples show that the average tracking performance of RFE is slightly better than that of the CI method, and the performance degradation of RFE is acceptable compared with the centralized fusion.http://link.springer.com/article/10.1186/s13634-019-0640-6Robust fusionDistributed fusionPositive semi-definite relaxation
collection DOAJ
language English
format Article
sources DOAJ
author Duzhi Wu
Aiping Hu
spellingShingle Duzhi Wu
Aiping Hu
A robust fusion estimation with unknown cross-covariance in distributed systems
EURASIP Journal on Advances in Signal Processing
Robust fusion
Distributed fusion
Positive semi-definite relaxation
author_facet Duzhi Wu
Aiping Hu
author_sort Duzhi Wu
title A robust fusion estimation with unknown cross-covariance in distributed systems
title_short A robust fusion estimation with unknown cross-covariance in distributed systems
title_full A robust fusion estimation with unknown cross-covariance in distributed systems
title_fullStr A robust fusion estimation with unknown cross-covariance in distributed systems
title_full_unstemmed A robust fusion estimation with unknown cross-covariance in distributed systems
title_sort robust fusion estimation with unknown cross-covariance in distributed systems
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6180
publishDate 2019-09-01
description Abstract An efficient robust fusion estimation (RFE) for distributed fusion system without knowledge of the cross-covariances of sensor estimation errors is suggested. With the hypothesis that the object lying in the intersection of some ellipsoids related to sensor estimations, the robust fusion estimation is designed to be a minimax problem, which is solved by proposing a novel relaxation strategy. Some properties of the RFE are discussed, and numerical simulations are also present to compare the tracking performance of RFE with that of the centralized fusion and CI method. The numerical examples show that the average tracking performance of RFE is slightly better than that of the CI method, and the performance degradation of RFE is acceptable compared with the centralized fusion.
topic Robust fusion
Distributed fusion
Positive semi-definite relaxation
url http://link.springer.com/article/10.1186/s13634-019-0640-6
work_keys_str_mv AT duzhiwu arobustfusionestimationwithunknowncrosscovarianceindistributedsystems
AT aipinghu arobustfusionestimationwithunknowncrosscovarianceindistributedsystems
AT duzhiwu robustfusionestimationwithunknowncrosscovarianceindistributedsystems
AT aipinghu robustfusionestimationwithunknowncrosscovarianceindistributedsystems
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