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  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E103-A   No.4   pp.704-709
Publication Date: 2020/04/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.2019EAL2153
Type of Manuscript: LETTER
Category: Digital Signal Processing
Keyword: 
three-dimensional (3D) localization,  uniform linear array (ULA),  Cramer Rao bound,  

Full Text: PDF>>
Buy this Article




Summary: 
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.