A Perturbation Analysis on the Performance of TOA and TDOA Localization in Mixed LOS/NLOS Environments

Hara, Shinsuke; Anzai, Daisuke; Yabu, Tomofumi; Lee, Kyesan; Derham, Thomas; Zemek, Radim

doi:10.1109/tcomm.2013.012313.110509

Cited by 81 publications

(30 citation statements)

References 18 publications

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“…The quality of channels will decline, since human movements can affect the propagation of signals, and it will have a greater impact on the intensity of signals near the source of signal transmission. The channel propagation is based on the following lognormal model [11]: Terminals to be located receive the intensity values of dynamic AP signals which are greater than or equal to the preset thresholds (e.g. -40dbm).…”

Section: B Algorithmmentioning

confidence: 99%

“…[5]. At present, the algorithms widely used in the field of indoor location based on Wi-Fi include the angle of arrival localization algorithm (AOA), the time of arrival localization algorithm (TOA), the time difference of arrival localization algorithm (TDOA), the received signal strength indication localization algorithm (RSSI), the fingerprint-based localization algorithm, and so on [6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Indoor localization based on hybrid Wi-Fi hotspots

Tang

2017

2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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Section: B Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Indoor localization based on hybrid Wi-Fi hotspots

Tang

2017

2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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“…In [6] , it came to conclusion that for the case of all NLOS channels, we derive a simp le condition among the number of cells, the average and variance of NLOS range erro r d istribution which can correctly predict whether the TDOA method outperforms the TOA method or not.…”

Section: Uwb Indoor Localization System Based On Tdoa Algorithmmentioning

confidence: 99%

Research on Network Scalability Based on UWB Indoor Localization System

Long

Shen

Feng

et al. 2016

MATEC Web of Conferences

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Abstract. Network Scalability is an important step in the development of UWB indoor localization system. Owing to its fine resolution and robustness in cluttered environments, UWB signals are well suited for localization purposes as they allow high ranging accuracy. T DOA algorithm based on UWB indoor localization system can achieve highprecision positioning but it requires each anchor clock synchronization. This paper mainly studied the optional of master anchor based on T DOA algorithm. It becomes an effective way to adapt to the complex communication environment. T hen realized the network scalability in multiple anchor conditions and finally evaluated the performance of master anchor optional algorithm on a realistic indoor scenario. A localization error analysis on UWB indoor positioning system was performed. The smallest T DOA measurement error is 15.127 cm and the worst error is 27.230 cm, as was shown by the test results.

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“…is the signal velocity, usually at speed of light. The common approaches of using TOF are Arrival of Angle (AOA) [13], Time of Arrival (TOA) [10], and Time Difference of Arrival (TDOA) [10]. The accuracy of TOF location estimation is primarily limited by clock synchronization, noise, sampling artifacts, and multipath effect.…”

Section: Related Workmentioning

confidence: 99%

Krypto

Chen

2015

Proceedings of the First Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use

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Natural disasters affect thousands of people every year. In a large disaster area, search and rescue operations can face great difficulties to locate victims. In this paper, we propose a system, called Krypto, with UAV to assist search and recue operations. By flying over disaster area and detecting wireless signals from any cellular phones, Krypto is able to locate possible victims. In addition, this work addresses the challenges of maximizing the searching area and minimizing the location errors with different searching paths. We have analyzed different searching paths in terms of coverage, location errors, average speed, average searching time, and power consumption. Our experiments presented the design considerations and the performance comparisons of different searching paths for finding victim in a large disaster area. Categories and Subject DescriptorsC.3 [Special-Purpose and Application-Based Systems]: System supports search and rescue operations in large disaster area.

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A Perturbation Analysis on the Performance of TOA and TDOA Localization in Mixed LOS/NLOS Environments

Cited by 81 publications

References 18 publications

Indoor localization based on hybrid Wi-Fi hotspots

Indoor localization based on hybrid Wi-Fi hotspots

Research on Network Scalability Based on UWB Indoor Localization System

Krypto

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