Performance of UWB position estimation based on time-of-arrival measurements

By Kegen Yu, I. Oppermann. 2004 International Workshop on Ultra Wideband Systems Joint with Conference on Ultra Wideband Systems and Technologies. Joint UWBST & IWUWBS 2004 (IEEE Cat. No.04EX812), 2004

121 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/cebd4af849476dc8021921b08dc2726bbf860067

How researchers see this paper

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

In Aerospace Engineering

1. Henk Wymeersch
2. Moe Z. Win
3. Jaime Lien
4. Andreas F. Molisch
5. Andreas Willig

In Artificial Intelligence

1. Henk Wymeersch
2. Moe Z. Win
3. Jaime Lien

In Electrical and Electronic Engineering

1. Moe Z. Win
2. Henk Wymeersch
3. Jaime Lien
4. Yuan Shen
5. Andreas F. Molisch
6. Wenhan Dai
7. Robert A. Scholtz
8. Davide Dardari

Citations in the corpus

• Cooperative Localization in Wireless Networks (2009, background): “On the other hand, UWB signals have a number of characteristics that make them more attractive for indoor localization, as well as for indoor communication in general [84]–[86].”