TDoA Localization Based on Particle Swarm Optimization in UWB Systems

Tan N. LE; Jaewoon KIM; Yoan SHIN

doi:10.1587/transcom.E94.B.2013

TDoA Localization Based on Particle Swarm Optimization in UWB Systems

Tan N. LE, Jaewoon KIM, Yoan SHIN

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We propose an improved TDoA (Time Difference of Arrival) localization scheme based on PSO (Particle Swarm Optimization) in UWB (Ultra Wide Band) systems. The proposed scheme is composed of two steps: the re-estimation of TDoA parameters and the re-localization of tag position. In both steps, the PSO algorithm is employed to improve the performance. In the first step, the proposed scheme re-estimates the TDoA parameters obtained by traditional TDoA localization to reduce the TDoA estimation error. In the second step, the proposed scheme with the TDoA parameters estimated in the first step, re-localizes the tag to minimize the location error. Simulation results show that the proposed scheme achieves better location performance than the traditional TDoA localization in various channel environments.

Publication: IEICE TRANSACTIONS on Communications Vol.E94-B No.7 pp.2013-2021

Publication Date: 2011/07/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E94.B.2013

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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Tan N. LE, Jaewoon KIM, Yoan SHIN, "TDoA Localization Based on Particle Swarm Optimization in UWB Systems" in IEICE TRANSACTIONS on Communications, vol. E94-B, no. 7, pp. 2013-2021, July 2011, doi: 10.1587/transcom.E94.B.2013.
Abstract: We propose an improved TDoA (Time Difference of Arrival) localization scheme based on PSO (Particle Swarm Optimization) in UWB (Ultra Wide Band) systems. The proposed scheme is composed of two steps: the re-estimation of TDoA parameters and the re-localization of tag position. In both steps, the PSO algorithm is employed to improve the performance. In the first step, the proposed scheme re-estimates the TDoA parameters obtained by traditional TDoA localization to reduce the TDoA estimation error. In the second step, the proposed scheme with the TDoA parameters estimated in the first step, re-localizes the tag to minimize the location error. Simulation results show that the proposed scheme achieves better location performance than the traditional TDoA localization in various channel environments.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2013/_p

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@ARTICLE{e94-b_7_2013,
author={Tan N. LE, Jaewoon KIM, Yoan SHIN, },
journal={IEICE TRANSACTIONS on Communications},
title={TDoA Localization Based on Particle Swarm Optimization in UWB Systems},
year={2011},
volume={E94-B},
number={7},
pages={2013-2021},
abstract={We propose an improved TDoA (Time Difference of Arrival) localization scheme based on PSO (Particle Swarm Optimization) in UWB (Ultra Wide Band) systems. The proposed scheme is composed of two steps: the re-estimation of TDoA parameters and the re-localization of tag position. In both steps, the PSO algorithm is employed to improve the performance. In the first step, the proposed scheme re-estimates the TDoA parameters obtained by traditional TDoA localization to reduce the TDoA estimation error. In the second step, the proposed scheme with the TDoA parameters estimated in the first step, re-localizes the tag to minimize the location error. Simulation results show that the proposed scheme achieves better location performance than the traditional TDoA localization in various channel environments.},
keywords={},
doi={10.1587/transcom.E94.B.2013},
ISSN={1745-1345},
month={July},}

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TY - JOUR
TI - TDoA Localization Based on Particle Swarm Optimization in UWB Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 2013
EP - 2021
AU - Tan N. LE
AU - Jaewoon KIM
AU - Yoan SHIN
PY - 2011
DO - 10.1587/transcom.E94.B.2013
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2011
AB - We propose an improved TDoA (Time Difference of Arrival) localization scheme based on PSO (Particle Swarm Optimization) in UWB (Ultra Wide Band) systems. The proposed scheme is composed of two steps: the re-estimation of TDoA parameters and the re-localization of tag position. In both steps, the PSO algorithm is employed to improve the performance. In the first step, the proposed scheme re-estimates the TDoA parameters obtained by traditional TDoA localization to reduce the TDoA estimation error. In the second step, the proposed scheme with the TDoA parameters estimated in the first step, re-localizes the tag to minimize the location error. Simulation results show that the proposed scheme achieves better location performance than the traditional TDoA localization in various channel environments.
ER -