A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation

By Xin Wang, Zongxin Wang, B. O'Dea. IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211), 2001

360 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/d41a9828ab495f380307ab67df36c730fdd0a4d9

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Citations in the corpus

Time-of-arrival based localization under NLOS conditions (2006, methodology): “To be fair to RW [15] and CLS [24], it should be explained that they both assume that all BS are NLOS, and do not select LOS-BS for localization.”
Wireless sensor network localization techniques (2007, methodology): “A quadratic programming approach is used to solve for an ML estimate of the source location [84].”
A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques (2009, methodology): “Note that (86) and (87) constitute a constrained LS (CLS) algorithm that can be solved using quadratic programming techniques5.”
A Novel NLOS Mitigation Algorithm for UWB Localization in Harsh Indoor Environments (2019, methodology): “In both experiments, the performance of the proposed localization algorithm was compared to four existing NLOS mitigation algorithms in literature: TS-LS [27], Two-Step [10], SVM-SD [29], and LP [28].”
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.”
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.”