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Robust Positioning Algorithms for Wireless Networks - Ulrich Hammes

Robust Positioning Algorithms for Wireless Networks

Statistical Approaches to Non-Line-of-Sight (NLOS) Mitigation

(Autor)

Buch | Softcover
156 Seiten
2015
Südwestdeutscher Verlag für Hochschulschriften AG Co. KG
978-3-8381-1571-9 (ISBN)
CHF 97,85 inkl. MwSt
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This work deals with the problem of determining the geographic position of a radio transmitter by exploiting signal parameters such as time-of-arrival (TOA), angle-of-arrival (AOA) or others together with the geometry of a network of receivers. If direct physical connections between the transmitter and each of the receivers exist, meaning the channel is in line-of-sight (LOS), accurate position estimates can be obtained by trilateration or triangulation techniques. However, in practice obstacles such as buildings and trees reflect the signals and hinder them to arrive at the receivers via the direct path. This phenomenon, called non-line-of-sight (NLOS) propagation, yields erroneous signal parameters and consequently high positioning errors. This book presents several approaches to design statistical algorithms that achieve similar positioning accuracy to conventional techniques in LOS environments and do not degrade significantly when the degree of NLOS propagation increases.

Hammes, UlrichDr.-Ing. Ulrich Hammes received the Dipl.-Ing. degree inelectrical engineering and information technology fromUniversität Karlsruhe (TH), Germany in 2005. In the same year hejoined the Signal Processing Group at Technische Universität (TU)Darmstadt, Germany and he received his PhD from TU Darmstadt inDecember 2009.

Erscheint lt. Verlag 28.10.2015
Sprache englisch
Maße 150 x 220 mm
Gewicht 225 g
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte Estimation theory • geolocation • Kalman Filter • Kernel Density Estimation • non-line-of-sight (NLOS) mitigation • Signal Processing • Tracking • trilateration
ISBN-10 3-8381-1571-6 / 3838115716
ISBN-13 978-3-8381-1571-9 / 9783838115719
Zustand Neuware
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