A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques

By Ismail Güvenç, Chia-Chin Chong. IEEE Communications Surveys and Tutorials, 2009

1,053 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/d1d581fc6f5fac689654044b87e9d81421eaab13

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Citations in the corpus

Computational Intelligence in Wireless Sensor Networks: A Survey (2011, neutral): “Localization methods that use time-of-arrival of signals from multiple base stations are commonly used in WSNs [20].”
A Survey on Fundamental Limits of Integrated Sensing and Communication (2021, background): “There are many survey papers for traditional sensing technologies, including radar sensing [21], wireless localization [22], [23], [24], [25], WiFi and mobile sensing [26], [27], [28], among which only a few works have discussed the fundamental limits of traditional sensing.”
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons (2016, methodology): “Wireless technology used for indoor positioning has been reviewed in [27]–[34].”
Indoor Positioning Systems Based on Visible Light Communication: State of the Art (2017, background): “According to a recent survey [5], there are various indoor positioning technologies proposed such as Radio-Frequency Identification (RFID) [6], [7], Ultra-Wideband (UWB) [8], Wi-Fi [9], [10], and fingerprint [11].”
Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances (2016, methodology): “[13] 2009 Indoor RF TOA positioning algorithms in NLOS environments”
Modern WLAN Fingerprinting Indoor Positioning Methods and Deployment Challenges (2016, background): “Wireless indoor localization has been previously reviewed [23], [67]–[76].”
Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts (2012, methodology): “Examples of robust extended Kalman filtering applied to geolocation tracking in wireless networks can be found in [7] and [30].”
A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, methodology): “Theoretical analysis on principles of time-based localization and Non-Line-of-Sight (NLoS) mitigation algorithms for different wireless systems including but not limited to cellular networks was conducted in [16].”
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “A conventional WSN that localizes an agent (target) using measurements of received signal strength (RSS), ToA, AoA, and time difference of arrival (TDoA) from anchors (sensing nodes), is a representative system that utilizes information-level fusion [167], [168].”
Accurate Passive Location Estimation Using TOA Measurements (2012, methodology): “The three most important kinds utilize the received signal strength (RSS) [5], angle of arrival (AOA) [6], and signal propagation time [7], [8], [9], respectively.”
Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G (2018, methodology): “[22] 2009 Wireless Survey of ToA localization algorithms and NLoS mitigation techniques.”