Solution and Analysis For 3-D Localization In Closed-Form Integrating Sa and TDOA Measurements
Tianyi Xing, Yimao Sun, Lihua Ni, Xiangyu Peng, Kehao Zhang, Qun Wan
Abstract
Linear array-based three-dimensional (3-D) localization is a recently proposed technology. It uses a set of newly defined one-dimensional (1-D) angles, called space angle (SA), to locate the source. Integrating SA with time difference of arrival (TDOA) promises higher accuracy, and more attractive, provides the formulation leading to closedform solutions. Currently, studies of hybrid SA-TDOA localization leverage iteration to refine the performance to the Cramer-Rao lower' bound (CRLB), which suffers from the possible convergence issues. This paper advances this topic by proposing a two-stage weighted least squares (TSWLS) closed-form estimator, which avoids the risk of divergence and can attain the CRLB if the noise is mild. Analytical and numerical results show the performance ascendancy of the proposed method.
BibTeX
@inproceedings{icassp2024_solutionandanaly,
title = {Solution and Analysis For 3-D Localization In Closed-Form Integrating Sa and TDOA Measurements},
author = {Tianyi Xing and Yimao Sun and Lihua Ni and Xiangyu Peng and Kehao Zhang and Qun Wan},
booktitle = {ICASSP 2024},
year = {2024}
}