Gaussian Processes for Positioning Using Radio Signal Strength Measurements.

• Superior document: Linköping Studies in Science and Technology. Dissertations Series ; v.1968
• Author: 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
• Physical Description: 1 online resource (74 pages)

Table of 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.