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Published in: Wireless Personal Communications 4/2017

01-10-2016

Closed-Form Solution of TDOA-Based Geolocation and Tracking: A Recursive Weighted Least Square Approach

Authors: Kyunghyun Lee, Jungkeun Oh, Kwanho You

Published in: Wireless Personal Communications | Issue 4/2017

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Abstract

The location determination technique using time difference of arrival (TDOA) measurements has been widely used in the military and observation industry. The accuracy of geolocation estimation is a very significant problem because measurement data are affected by environmental noise. Environmental noise occurs due to measurement error and the non-line of sight (NLOS) problem. This paper presents a Kalman filter-based NLOS section identification method and an iterative estimation of emitter location using the recursive weighted least square (RWLS) algorithm. Using fixed receivers with known locations, we obtain TDOA data that contain environmental noise. We identify the NLOS section of each receiver using a Kalman filter. Using the identified line of sight (LOS) TDOA measurements, we accurately derive the estimated location of an emitter with a fast calculation speed using the proposed RWLS algorithm when we receive additional TDOA data. In order to confirm the performance of the RWLS algorithm, the presented simulation results show that the proposed technique achieves improved accuracy and speed for estimating the emitter location.

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Metadata
Title
Closed-Form Solution of TDOA-Based Geolocation and Tracking: A Recursive Weighted Least Square Approach
Authors
Kyunghyun Lee
Jungkeun Oh
Kwanho You
Publication date
01-10-2016
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 4/2017
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3785-8

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