Non-line of Sight Error Mitigation in Ultra-wideband Ranging Systems Using Biased Kalman Filtering
Journal of Signal Processing Systems
Time difference localization in the presence of outliers
Signal Processing
ACM Transactions on Sensor Networks (TOSN)
Efficient Spectrum Allocation and Time of Arrival Based Localization in Cognitive Networks
Wireless Personal Communications: An International Journal
From RSSI to CSI: Indoor localization via channel response
ACM Computing Surveys (CSUR)
An efficient non-line-of-sight error mitigation method for TOA measurement in indoor environments
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Taxonomy of Fundamental Concepts of Localization in Cyber-Physical and Sensor Networks
Wireless Personal Communications: An International Journal
A Non-Line-of-Sight mitigation localization algorithm for sensor networks using clustering analysis
Computers and Electrical Engineering
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Localization of a wireless device using the time-of-arrivals (TOAs) from different base stations has been studied extensively in the literature. Numerous localization algorithms with different accuracies, computational complexities, a-priori knowledge requirements, and different levels of robustness against non-line-of-sight (NLOS) bias effects also have been reported. However, to our best knowledge, a detailed unified survey of different localization and NLOS mitigation algorithms is not available in the literature. This paper aims to give a comprehensive review of these different TOA-based localization algorithms and their technical challenges, and to point out possible future research directions. Firstly, fundamental lower bounds and some practical estimators that achieve close to these bounds are summarized for line-of-sight (LOS) scenarios. Then, after giving the fundamental lower bounds for NLOS systems, different NLOS mitigation techniques are classified and summarized. Simulation results are also provided in order to compare the performance of various techniques. Finally, a table that summarizes the key characteristics of the investigated techniques is provided to conclude the paper.