Gaussian Processes for Positioning Using Radio Signal Strength Measurements. - Zhao, Yuxin (Linköping : Linkopings Universitet, 2019)
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.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Keywords: Electronic books