TY - JOUR
T1 - Analysis of 3D localization in underwater optical wireless networks with uncertain anchor positions
AU - Saeed, Nasir
AU - Celik, Abdulkadir
AU - Alouini, Mohamed-Slim
AU - Al-Naffouri, Tareq Y.
N1 - KAUST Repository Item: Exported on 2020-10-07
PY - 2020/9/30
Y1 - 2020/9/30
N2 - Localization accuracy is of paramount importance for the proper operation of underwater optical wireless sensor networks (UOWSNs). However, underwater localization is prone to hostile environmental impediments such as drifts owing to the surface and deep currents. These cause uncertainty in the deployed anchor node positions and pose daunting challenges to achieve accurate location estimations. Therefore, this paper analyzes the performance of three-dimensional (3D) localization for UOWSNs and derives a closed-form expression for the Cramer Rao lower bound (CRLB) by using time of arrival (ToA) and angle of arrival (AoA) measurements under the presence of uncertainty in anchor node positions. Numerical results validate the analytical findings by comparing the localization accuracy in scenarios with and without anchor nodes position uncertainty. Results are also compared with the linear least square (LLS) method and weighted LLS (WLLS) method.
AB - Localization accuracy is of paramount importance for the proper operation of underwater optical wireless sensor networks (UOWSNs). However, underwater localization is prone to hostile environmental impediments such as drifts owing to the surface and deep currents. These cause uncertainty in the deployed anchor node positions and pose daunting challenges to achieve accurate location estimations. Therefore, this paper analyzes the performance of three-dimensional (3D) localization for UOWSNs and derives a closed-form expression for the Cramer Rao lower bound (CRLB) by using time of arrival (ToA) and angle of arrival (AoA) measurements under the presence of uncertainty in anchor node positions. Numerical results validate the analytical findings by comparing the localization accuracy in scenarios with and without anchor nodes position uncertainty. Results are also compared with the linear least square (LLS) method and weighted LLS (WLLS) method.
UR - http://hdl.handle.net/10754/661045
UR - http://link.springer.com/10.1007/s11432-019-2758-2
UR - http://www.scopus.com/inward/record.url?scp=85091721517&partnerID=8YFLogxK
U2 - 10.1007/s11432-019-2758-2
DO - 10.1007/s11432-019-2758-2
M3 - Article
SN - 1869-1919
VL - 63
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 10
ER -