For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
A New Closed-Form Algorithm for Spatial Three-Dimensional Localization with Multiple One-Dimensional Uniform Linear Arrays
Yifan WEI Wanchun LI Yuning GUO Hongshu LIAO
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2020/04/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Digital Signal Processing
three-dimensional (3D) localization, uniform linear array (ULA), Cramer Rao bound,
Full Text: PDF>>
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.