Gaussian Processes for Positioning Using Radio Signal Strength Measurements.

Gaussian Processes for Positioning Using Radio Signal Strength Measurements.

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Bibliographic Details
Superior document:Linköping Studies in Science and Technology. Dissertations Series ; v.1968
:
Zhao, Yuxin.
Place / Publishing House:Linköping : : Linkopings Universitet,, 2019.
{copy}2019.
Year of Publication:2019
Edition:1st ed.
Language:English
Series:Linköping Studies in Science and Technology. Dissertations Series
Online Access:
Physical Description:1 online resource (74 pages)
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(CaPaEBR)ebr11657193
(OCoLC)1089609664
collection bib_alma
record_format marc
spelling Zhao, Yuxin.
Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
1st ed.
Linköping : Linkopings Universitet, 2019.
{copy}2019.
1 online resource (74 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Linköping Studies in Science and Technology. Dissertations Series ; v.1968
Intro -- Abstract -- Populärvetenskaplig sammanfattning -- Acknowledgments -- Contents -- Notation -- 1 Introduction -- 1.1 Application Examples -- 1.2 Main Contributions -- 1.3 Thesis outline -- 1.3.1 Outline of Part I -- 1.3.2 Outline of Part II -- I Background -- 2 Estimation -- 2.1 Static Estimators -- 2.1.1 Best Linear Unbiased Estimator -- 2.1.2 Maximum Likelihood Estimator -- 2.1.3 Least Squares -- 2.2 Dynamic Estimators -- 2.3 Sequential Monte Carlo Methods for State Inference -- 2.3.1 Particle Filter -- 2.3.2 Particle Smoother -- 3 Modeling -- 3.1 Linear Regression for Parametric Modeling -- 3.2 Gaussian Process for Non-parametric Modeling -- 4 The Cramér-Rao Bound -- 4.1 Cramér-Rao Bound for Static Estimator -- 4.2 Cramér-Rao Bound for Dynamic Estimator -- 5 Concluding Remarks -- 5.1 Summary of Contribution -- 5.2 Some Insights into Future Work -- Bibliography -- II Publications.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Print version: Zhao, Yuxin Gaussian Processes for Positioning Using Radio Signal Strength Measurements Linköping : Linkopings Universitet,c2019
ProQuest (Firm)
Linköping Studies in Science and Technology. Dissertations Series
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5721778 Click to View
language English
format eBook
author Zhao, Yuxin.
spellingShingle Zhao, Yuxin.
Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
Linköping Studies in Science and Technology. Dissertations Series ;
Intro -- Abstract -- Populärvetenskaplig sammanfattning -- Acknowledgments -- Contents -- Notation -- 1 Introduction -- 1.1 Application Examples -- 1.2 Main Contributions -- 1.3 Thesis outline -- 1.3.1 Outline of Part I -- 1.3.2 Outline of Part II -- I Background -- 2 Estimation -- 2.1 Static Estimators -- 2.1.1 Best Linear Unbiased Estimator -- 2.1.2 Maximum Likelihood Estimator -- 2.1.3 Least Squares -- 2.2 Dynamic Estimators -- 2.3 Sequential Monte Carlo Methods for State Inference -- 2.3.1 Particle Filter -- 2.3.2 Particle Smoother -- 3 Modeling -- 3.1 Linear Regression for Parametric Modeling -- 3.2 Gaussian Process for Non-parametric Modeling -- 4 The Cramér-Rao Bound -- 4.1 Cramér-Rao Bound for Static Estimator -- 4.2 Cramér-Rao Bound for Dynamic Estimator -- 5 Concluding Remarks -- 5.1 Summary of Contribution -- 5.2 Some Insights into Future Work -- Bibliography -- II Publications.
author_facet Zhao, Yuxin.
author_variant y z yz
author_sort Zhao, Yuxin.
title Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
title_full Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
title_fullStr Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
title_full_unstemmed Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
title_auth Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
title_new Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
title_sort gaussian processes for positioning using radio signal strength measurements.
series Linköping Studies in Science and Technology. Dissertations Series ;
series2 Linköping Studies in Science and Technology. Dissertations Series ;
publisher Linkopings Universitet,
publishDate 2019
physical 1 online resource (74 pages)
edition 1st ed.
contents Intro -- Abstract -- Populärvetenskaplig sammanfattning -- Acknowledgments -- Contents -- Notation -- 1 Introduction -- 1.1 Application Examples -- 1.2 Main Contributions -- 1.3 Thesis outline -- 1.3.1 Outline of Part I -- 1.3.2 Outline of Part II -- I Background -- 2 Estimation -- 2.1 Static Estimators -- 2.1.1 Best Linear Unbiased Estimator -- 2.1.2 Maximum Likelihood Estimator -- 2.1.3 Least Squares -- 2.2 Dynamic Estimators -- 2.3 Sequential Monte Carlo Methods for State Inference -- 2.3.1 Particle Filter -- 2.3.2 Particle Smoother -- 3 Modeling -- 3.1 Linear Regression for Parametric Modeling -- 3.2 Gaussian Process for Non-parametric Modeling -- 4 The Cramér-Rao Bound -- 4.1 Cramér-Rao Bound for Static Estimator -- 4.2 Cramér-Rao Bound for Dynamic Estimator -- 5 Concluding Remarks -- 5.1 Summary of Contribution -- 5.2 Some Insights into Future Work -- Bibliography -- II Publications.
isbn 9789176851623
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5721778
illustrated Not Illustrated
oclc_num 1089609664
work_keys_str_mv AT zhaoyuxin gaussianprocessesforpositioningusingradiosignalstrengthmeasurements
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ids_txt_mv (MiAaPQ)5005721778
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hierarchy_parent_title Linköping Studies in Science and Technology. Dissertations Series ; v.1968
is_hierarchy_title Gaussian Processes for Positioning Using Radio Signal Strength Measurements.
container_title Linköping Studies in Science and Technology. Dissertations Series ; v.1968
marc_error Info : MARC8 translation shorter than ISO-8859-1, choosing MARC8. --- [ 856 : z ]
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