Wireless local positioning

By M. Vossiek, L. Wiebking, P. Gulden, J. Wieghardt, C. Hoffmann, P. Heide. 2003

483 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/84da17d323ff13fb03e1bcc37b66c7748720bc01

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Mengchu Zhou
2. Ignas G. Niemegeers
3. Nirwan Ansari
4. Yanying Gu
5. Anthony C. C. Lo

In Electrical and Electronic Engineering

1. Mengchu Zhou
2. Ignas G. Niemegeers
3. Nirwan Ansari
4. Pavel V. Nikitin
5. Yanying Gu
6. Anthony C. C. Lo
7. K. Rao

Citations in the corpus

• A survey of indoor positioning systems for wireless personal networks (2009, methodology): “WhereNet IPS uses sophisticated differential time of arrival (DTOA) algorithm [55] to calculate the locations of these tags.”
• A Survey on Acquisition, Tracking, and Pointing Mechanisms for Mobile Free-Space Optical Communications (2018, background): “A local positioning system uses signals from cellular base stations, Wi-Fi access points, or radio broadcast towers as beacon signals to calculate the location of a mobile device [116].”
• Phase based spatial identification of UHF RFID tags (2010, methodology): “Classical wireless approaches to positioning employ triangulation using received signal strength indicator (RSSI) as in cell phones and time difference of arrival (TDOA) as in GPS. Good overviews of wireless positioning techniques can be found in [1-5].”