A new approach to the geometry of TOA location
By James J. Caffery. Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152), 2000
482 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/420f4cfff214ecfecb31d073f2bd1f124ed32e16
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
- H. Inamura
- Isaac Amundson
- Xenofon D. Koutsoukos
- Chia-Chin Chong
- Herman Yau
- Senior Member Ieee Yiu-Tong Chan
- Chin Hang
- Ismail Güvenç
In Electrical and Electronic Engineering
- Chia-Chin Chong
- Ismail Güvenç
- H. Inamura
- Isaac Amundson
- Xenofon D. Koutsoukos
- Herman Yau
- Senior Member Ieee Yiu-Tong Chan
- Chin Hang
Citations in the corpus
- A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques (2009, methodology): “In order to obtain a linear model, an alternative technique was proposed in [34] for canceling out these non-linear terms.”
- Exact and approximate maximum likelihood localization algorithms (2006, methodology): “A similar approach for the TOA case appears in [10].”
- NLOS Identification and Weighted Least-Squares Localization for UWB Systems Using Multipath Channel Statistics (2008, methodology): “Alternatively, it is possible to use the techniques as proposed in [27, 38] in order to obtain a linear set of equations from the nonlinear least-squares model in (15).”
- Best linear unbiased estimator approach for time-of-arrival based localisation (2008, unknown): “156 & T”
- A Survey on Localization for Mobile Wireless Sensor Networks (2009, background): “Localization by time-of-arrival (TOA) [48], [49], [50] measures the time a signal takes to arrive at some number of sensors.”