Exact and approximate maximum likelihood localization algorithms
By Senior Member Ieee Yiu-Tong Chan, Herman Yau, Chin Hang. IEEE Transactions on Vehicular Technology, 2006
382 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/e133030b4f361308dadc166cc50c906fa1f69a7e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Electrical and Electronic Engineering
- Chia-Chin Chong
- Ismail Güvenç
- Andreas F. Molisch
- Jussi Salmi
- Junyang Shen
- Yiu Tong Chan
- Hing Cheung So
- H. Inamura
In Signal Processing
- Chia-Chin Chong
- Ismail Güvenç
- Andreas F. Molisch
- Yiu Tong Chan
- Hing Cheung So
- H. Inamura
- Jussi Salmi
- Junyang Shen
Citations in the corpus
- Time-of-arrival based localization under NLOS conditions (2006, methodology): “It computes, with the AML [20], a total of estimates of Θ .”
- A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques (2009, methodology): “In order to find the minimum value of J, the gradient of J with respect to x is equated to zero, yielding [26]”
- Accurate Passive Location Estimation Using TOA Measurements (2012, background): “Obviously, the estimator (10) is an unbiased one, and the mean of ni is zero.”
- NLOS Identification and Weighted Least-Squares Localization for UWB Systems Using Multipath Channel Statistics (2008, methodology): “Copyright © 2008 İsmail Güvenç et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.”