Time-of-arrival based localization under NLOS conditions

By Yiu Tong Chan, Wing-Yue Tsui, Hing Cheung So, Pak-Chung Ching. IEEE Transactions on Vehicular Technology, 2006

508 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/4ff5234ba33bf123f9241c7d0642daed029533d0

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. Chia-Chin Chong
2. Ismail Güvenç

In Artificial Intelligence

1. Nikolaos Gatsis
2. Chia-Chin Chong
3. David Akopian
4. Ismail Güvenç
5. Ali Khalajmehrabadi
6. S. Chan
7. Suining He

In Electrical and Electronic Engineering

1. Ismail Güvenç
2. Chia-Chin Chong
3. Nikolaos Gatsis
4. David Akopian
5. Ali Khalajmehrabadi
6. Andreas F. Molisch
7. S. Chan
8. Suining He

Citations in the corpus

• Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, background): “Although some enhancements have been proposed for non-LOS (NLOS) conditions [49], [50], the localization errors are high [46].”
• A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques (2009, methodology): “Residual test (RT) algorithm proposed in [28] falls into the group of algorithms where the MT is localized using only the LOS FTs.”