Title :
Joint TOA and DOA Localization in Indoor Environment Using Virtual Stations
Author :
Deliang Liu ; Kaihua Liu ; Yongtao Ma ; Jiexiao Yu
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
Abstract :
This letter presents a geometrical localization approach that is able to locate a mobile station in non-line-of-sight (NLOS) and multipath conditions using time-of-arrival (TOA) and direction-of-arrival (DOA) estimates. The novelty of our work resides in converting the NLOS problem into a line-of-sight problem with virtual stations, even if the signal undergoes multiple-bound scattering, which has not been resolved in previous works. We also develop a two-step weighted least squares (TSWLS) positioning estimator using the hybrid TOA and DOA values. Simulation results demonstrate the effectiveness of the proposed method.
Keywords :
direction-of-arrival estimation; geometry; indoor radio; mobile radio; radiowave propagation; regression analysis; time-of-arrival estimation; NLOS problem; NLOS radio propagation; TSWLS positioning estimator; direction-of-arrival estimates; geometrical localization approach; indoor environment; joint DOA localization; joint TOA localization; mobile station; multipath radio propagation; multiple-bound scattering; non line-of-sight problem; time-of-arrival estimates; two-step weighted least squares positioning estimator; virtual stations; Diffraction; Direction-of-arrival estimation; Indoor environments; Mobile communication; Scattering; Signal processing algorithms; Simulation; Localization; NLOS; multipath; virtual station;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.2333006