The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article présente un algorithme de localisation spatiale tridimensionnelle (3D) utilisant plusieurs réseaux linéaires uniformes (ULA) unidimensionnels. Nous discutons d’abord des caractéristiques géométriques des mesures d’angle d’arrivée (AOA) du réseau et présentons le principe correspondant du positionnement à l’intersection de l’angle du cône spatial avec un modèle de mesure angulaire. Ensuite, nous proposons une nouvelle méthode de positionnement avec une étude analytique de la dilution géométrique de précision (GDOP) de la localisation de la cible dans différents cas. Les résultats de la simulation montrent que la précision de l'estimation de cette méthode peut atteindre la limite de Cramér-Rao (CRB) sous un faible bruit de mesure.
Yifan WEI
University of Electronic Science and Technology of China
Wanchun LI
University of Electronic Science and Technology of China
Yuning GUO
University of Electronic Science and Technology of China
Hongshu LIAO
University of Electronic Science and Technology of China
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Yifan WEI, Wanchun LI, Yuning GUO, Hongshu LIAO, "A New Closed-Form Algorithm for Spatial Three-Dimensional Localization with Multiple One-Dimensional Uniform Linear Arrays" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 4, pp. 704-709, April 2020, doi: 10.1587/transfun.2019EAL2153.
Abstract: This paper presents a three-dimensional (3D) spatial localization algorithm by using multiple one-dimensional uniform linear arrays (ULA). We first discuss geometric features of the angle-of-arrival (AOA) measurements of the array and present the corresponding principle of spatial cone angle intersection positioning with an angular measurement model. Then, we propose a new positioning method with an analytic study on the geometric dilution of precision (GDOP) of target location in different cases. The results of simulation show that the estimation accuracy of this method can attain the Cramér-Rao Bound (CRB) under low measurement noise.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2019EAL2153/_p
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@ARTICLE{e103-a_4_704,
author={Yifan WEI, Wanchun LI, Yuning GUO, Hongshu LIAO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A New Closed-Form Algorithm for Spatial Three-Dimensional Localization with Multiple One-Dimensional Uniform Linear Arrays},
year={2020},
volume={E103-A},
number={4},
pages={704-709},
abstract={This paper presents a three-dimensional (3D) spatial localization algorithm by using multiple one-dimensional uniform linear arrays (ULA). We first discuss geometric features of the angle-of-arrival (AOA) measurements of the array and present the corresponding principle of spatial cone angle intersection positioning with an angular measurement model. Then, we propose a new positioning method with an analytic study on the geometric dilution of precision (GDOP) of target location in different cases. The results of simulation show that the estimation accuracy of this method can attain the Cramér-Rao Bound (CRB) under low measurement noise.},
keywords={},
doi={10.1587/transfun.2019EAL2153},
ISSN={1745-1337},
month={April},}
Copier
TY - JOUR
TI - A New Closed-Form Algorithm for Spatial Three-Dimensional Localization with Multiple One-Dimensional Uniform Linear Arrays
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 704
EP - 709
AU - Yifan WEI
AU - Wanchun LI
AU - Yuning GUO
AU - Hongshu LIAO
PY - 2020
DO - 10.1587/transfun.2019EAL2153
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E103-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2020
AB - This paper presents a three-dimensional (3D) spatial localization algorithm by using multiple one-dimensional uniform linear arrays (ULA). We first discuss geometric features of the angle-of-arrival (AOA) measurements of the array and present the corresponding principle of spatial cone angle intersection positioning with an angular measurement model. Then, we propose a new positioning method with an analytic study on the geometric dilution of precision (GDOP) of target location in different cases. The results of simulation show that the estimation accuracy of this method can attain the Cramér-Rao Bound (CRB) under low measurement noise.
ER -