A TDOA-FDOA Localization Method in Closed-form Based on Deviation Refining

被引：0
作者：
Zhang, Fengrui [1 ]
Li, Mingbing [2 ]
Sun, Yimao [1 ]
Zou, Jifeng [1 ]
Wan, Qun [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] Southwest Inst Elect Technol, Chengdu, Peoples R China
来源：
2019 11TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP) | 2019年
基金：
中国国家自然科学基金;
关键词：
Time difference of arrival (TDOA); frequency difference of arrival (FDOA); closed-form; weighted least squares (WLS); localization; SEMIDEFINITE RELAXATION;
D O I：
10.1109/wcsp.2019.8928125
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper focuses on localizing a moving source with time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements in a wireless sensor network. An improved two-stage weighted least squares closed-form solution is proposed. The weighted spherical-interpolation method and deviation refining method are applied in the first and second stage respectively. It is analytically verified that the performance of proposed solution can attain the Cramer-Rao lower bound under mild Gaussian noise assumption. The proposed solution is shown to be effective and significantly decreases the bias of the estimate in terms of numerical simulations.
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页数：5
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