Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Wireless Indoor Positioning
Details
Wireless positioning using radio signals has received considerable attention in the field of navigation and tracking. However, the existing navigation systems that are based on satellites cannot provide accurate position estimation in urban and indoor environments due to shadowing and various sources of noise and interference. As a result, the wireless indoor positioning is emerging as a new important research area, its services will be widely used in the future. In this work, an effective wireless indoor positioning has been developed based on the opportune signals of IEEE 802.11 standards. The problem of highly resolving the propagation time delays, the relative direction of arrivals, and the relative amplitudes of multipath signals has been addressed for a high-resolution wireless positioning system. The developed algorithms use a very efficient computational methodology for real time implementation. In addition, non-iterative weighted least square estimators are presented to estimate the mobile unit coordinates based on the estimated observations. The problem of obstruction of the direct path due to the harsh nature of indoor environments has also been investigated.
Autorentext
Abdo Gaber received the B.Sc. (v. good), M.Sc. (excellent), and Doktor-Ing (summa cum laude) degrees in electrical engineering in 2005, 2009, and 2015, respectively. He worked as a BSS Engineer and a Microwave Transmission Supervisor in Sabafon and MTN comm. companies, respectively. Many scholarships and awards have been achieved during his study.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783838151434
- Genre Electrical Engineering
- Sprache Englisch
- Anzahl Seiten 252
- Herausgeber Südwestdeutscher Verlag für Hochschulschriften AG Co. KG
- Größe H220mm x B150mm x T16mm
- Jahr 2017
- EAN 9783838151434
- Format Kartonierter Einband
- ISBN 3838151437
- Veröffentlichung 18.02.2017
- Titel Wireless Indoor Positioning
- Autor Abdo Gaber
- Untertitel based on TDOA and DOA Estimation Techniques using IEEE 802.11 Standards
- Gewicht 393g