Localisation de terminaux mobiles par exploitation d'empreintes
Başlık çevirisi mevcut değil.
- Tez No: 401596
- Danışmanlar: DR. DIRK SLOCK
- Tez Türü: Doktora
- Konular: Elektrik ve Elektronik Mühendisliği, Electrical and Electronics Engineering
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2011
- Dil: Fransızca
- Üniversite: Ecole nationale supérieure des télécommunications-ENST
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 201
Özet
Özet yok.
Özet (Çeviri)
This dissertation is a collection of our approaches to solve the problem of mobile terminal (MT) location estimation. Main focus is on fingerprinting based localization methods which are suitable for multipath and NLoS environments. This feature is one of the many advantages of fingerprinting methods over“traditional”geometrical localization methods, i.e., they exploit multipath and NLoS conditions instead of trying to mitigate them. Hence a curse for“traditional”geometrical localization methods turns into a blessing for fingerprinting methods. This characteristic property of fingerprinting algorithms makes them a promising solution for MT localization problem. Being inspired from this, we steered our research direction towards this field and we can categorize our studies into the following main groups: • development of new, high precision fingerprinting-based localization algorithms which get use of an additional dimension (Doppler dimension), • derivations of Cram´er-Rao bounds (CRBs) to obtain performance limits for fingerprinting based localization systems, for the estimation of location-dependent parameters (LDPs), as well as the position of the MT, • investigation of identifiability concerns of the MT position under different circumstances and path amplitude modeling, • pairwise error probability (PEP) analysis for power delay profile fingerprinting (PDP-F) methods for different cost functions and path amplitude modeling, • MT tracking based on adaptive Kalman filtering (KF). This thesis consists of 7 chapters, including introduction and conclusion. We pay special attention to have a meaningful ordering of the chapters.Chapter 1 is the introduction where we present the state of the art localization systems and then introduce the basics of fingerprinting based localization systems. This chapter serves two purposes: informing readers about fundamentals of localization systems who might be unfamiliar to the subject, and presenting some material which we will get use of throughout the text. In chapter 2, two new fingerprinting algorithms are introduced, both exploiting the mobility of the MT to increase localization accuracy. Comprehensive derivations and explanations are provided to have an easy to understand context. Chapter 3 can be considered as the core of our studies. CRBs for the estimation of LDPs and the MT position are derived under various different conditions, path amplitude modelings for PDP-F. Impact of the network geometry on the estimation of MT position is clearly stated. Additionally, local identifiability issues of the MT position are extensively investigated. Chapter 4 is an extension of our work in chapter 3 to power delay Doppler profile-fingerprinting (PDDP-F) method. Improvements arising with the integration of Doppler shifts of the paths are stated in terms of CRBs. In chapter 5, we deal with a new problem in the field of localization. PEP analysis is a well-known concept in digital communication, e.g., calculating the probability of error when a vector of symbols sm is transmitted but another vector of symbols sn is detected at the receiver. The same concept is imported in the field of localization for PDP-F methods utilizing various cost functions. Chapter 6 deals with MT tracking based on adaptive KF. It is in the context of a project we were involved. Different mobility models are presented and applied to the measurement data. Their performances are compared in terms of the position prediction error. In the final chapter, there is a brief summary of our conclusions we have obtained during all localization research we have conducted. We try to justify our results. Furthermore, we make a list of ideas about future research subjects and the extension of our work.
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