Error analysis of cooperative positioning system using two-way ranging measurements

Lim, Jeong-Min; Yoo, Sang-Hoon; Park, Joon-Koo; Sung, Tae Kyung; Oh, Jeong-Hun; Jeong, Shinkyu; Lee, Kwang-Eog

doi:10.1109/icspcs.2014.7021104

Cited by 5 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, a linear algebra approach on error analysis of a co-operative position system using GPS and TWR was performed in Reference [21]. The overall concept is interesting because the presented method can be used as a transition system that bridges the localization systems of UWB (indoor) and GPS (outdoor).…”

Section: State Of the Art For Twr Methods And Related Workmentioning

confidence: 99%

Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods

Sang

Adams

Hörmann

et al. 2019

Sensors

View full text Add to dashboard Cite

The Two-Way Ranging (TWR) method is commonly used for measuring the distance between two wireless transceiver nodes, especially when clock synchronization between the two nodes is not available. For modeling the time-of-flight (TOF) error between two wireless transceiver nodes in TWR, the existing error model, described in the IEEE 802.15.4-2011 standard, is solely based on clock drift. However, it is inadequate for in-depth comparative analysis between different TWR methods. In this paper, we propose a novel TOF Error Estimation Model (TEEM) for TWR methods. Using the proposed model, we evaluate the comparative analysis between different TWR methods. The analytical results were validated with both numerical simulation and experimental results. Moreover, we demonstrate the pitfalls of the symmetric double-sided TWR (SDS-TWR) method, which is the most highlighted TWR method in the literature because of its highly accurate performance on clock-drift error reduction when reply times are symmetric. We argue that alternative double-sided TWR (AltDS-TWR) outperforms SDS-TWR. The argument was verified with both numerical simulation and experimental evaluation results.

show abstract

Section: State Of the Art For Twr Methods And Related Workmentioning

confidence: 99%

Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods

Sang

Adams

Hörmann

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…Moreover, a linear algebra approach on an error analysis of cooperative position system using GPS and TWR is performed in [15]. However, the authors assumed in their work that firstly, the clock drift errors are compensated just by using the SDS-TWR method, and secondly, the measurement error of ranging is purely white Gaussian noises.…”

Section: E Conventional Tof Error Estimation Approachesmentioning

confidence: 99%

An Analytical Study of Time of Flight Error Estimation in Two-Way Ranging Methods

Sang

Adams

Hörmann

et al. 2018

2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

View full text Add to dashboard Cite

In absence of clock synchronization, Two-Way Ranging (TWR) is the most commonly used technique for measuring the distance between two wireless transceivers. The existing time-of-flight (TOF) error estimation model, the IEEE 802.15.4-2011 standard, is specifically based on clock drift error. However, it is insufficient when an in-depth comparative analysis of different TWR methods is required. In this paper, we propose an extended TOF error estimation model for TWR methods, based on the IEEE 802.15.4 standard. Using the proposed model, we perform an analytical study of TOF error estimation among different TWR methods. The model is validated with numerical simulation results. Moreover, we demonstrate the pitfalls of the symmetric double-sided TWR (SDS-TWR) method, which is commonly used to reduce the TOF error due to clock drifts. Index Terms-time of flight (TOF), two way ranging (TWR), analytical model, TOF error model, time of arrival (TOA), time based ranging techniques, indoor positioning

show abstract

“…The distance between base stations and tag is achieved by the speed of radio waves multiplied by the time of signal flight. However, the clock offset can cause a larger margin of error [48,49]; we design the ranging algorithm based on TWR as follows. Firstly, we adopt the ultra-wideband wireless transceiver module DWM1000 produced by company DecaWave [50] in our system.…”

Section: Ranging Algorithmmentioning

confidence: 99%

Ensemble learning particle swarm optimization for real-time UWB indoor localization

Cai

Zhang

2018

J Wireless Com Network

View full text Add to dashboard Cite

This paper presents an ensemble learning particle swarm optimization (ELPSO) algorithm for real-time indoor localization based on ultra-wideband (UWB). Indoor localization problem can be formulated as an optimization problem to predict the target. The proposed algorithm expands the original PSO into ELPSO under superbest guide, which is a parameter employed to identify the top gbest by learning from three individual algorithms and updated asynchronously. The performance of the proposed ELPSO is evaluated by using the CEC2005 benchmark and compared with each individual algorithm and other state-of-the-art optimization algorithms. The feasibility of the proposed ELPSO is demonstrated in both 2D and 3D UWB indoor localization system generating promising results.

show abstract

Error analysis of cooperative positioning system using two-way ranging measurements

Cited by 5 publications

References 4 publications

Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods

Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods

An Analytical Study of Time of Flight Error Estimation in Two-Way Ranging Methods

Ensemble learning particle swarm optimization for real-time UWB indoor localization

Contact Info

Product

Resources

About