Paper Info
Title
Positioning Algorithm and AoD Estimation for mmWave FD-MISO System
Abstract
Millimeter wave (mmWave) massive multiple-input single-output (MISO) technologies provide a possibility for using the available wireless communication infrastructure to realize full dimension (FD) positioning. In this paper, we propose a novel beam training based positioning and angle of departure (AoD) estimation algorithm. The positioning process is formulated as a minimization problem of the sum distance square between the position of the user equipment (UE) and a point on each ray of access points. By solving the minimization problem, an analytical solution of the position of the UE is derived. Since the direction vector, i.e., AoD information, is the core of positioning algorithm, we propose a beam training based AoD estimation method which consists of coarse and fine estimation phases to obtain the AoD of the propagation path. Numerical results show that the proposed AoD estimation algorithm achieves satisfactory performance when 3 dB beamwidth cover all the direction of the paths and has relative high accuracy even all direction is not completely covered. Compared with least square estimation for FD positioning, our approach estimates the position of the UE more accurate.
Year
DOI
Venue
2018
10.1109/WCSP.2018.8555713
2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)
Keywords
Field
DocType
mmWave,positioning,FD-MISO,angle-of-departure
Least squares,Extremely high frequency,Wireless,Computer science,Direction vector,Algorithm,Real-time computing,Minification,User equipment,Beam (structure),Beamwidth
Conference
ISSN
ISBN
Citations 
2325-3746
978-1-5386-6120-8
0
PageRank 
References 
Authors
0.34
13
6
Name
Order
Citations
PageRank
Weicong Chen1173.96
Shiwen He240734.11
Qinzhen Xu3103.57
Ju Ren462158.80
Yongming Huang51472146.50
Luxi Yang61180118.08