Comparative Analysis of Tdoa-Based Localization Methods in the Presence of Sensor Position Errors

Loading...
Publication Logo

Date

2017

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

It is widely known that localization of emitters can be efficiently achieved by time difference of arrival (TDOA) techniques in a multiple sensor system. Several studies have been proposed in the literature to improve the localization accuracy of TDOA techniques. Among these, very few of them have considered the error in the sensor positions although the accuracy of localization is very sensitive to sensor position errors. In this study, existing TDOA-based localization methods in the presence of sensor position errors are briefly discussed, and then they are comparatively analyzed for specific scenarios. To this end, simulations are performed to compare the localization accuracy of the methods, specifically, with high level of sensor positional errors. It is intended to decide an efficient and robust estimator to be used for an ongoing research on passive localization of radar emitters in dense scattering environments. © 2017 IEEE.

Description

Keywords

Comparative analysis, Erroneous sensor positions, Localization, Time difference of arrival

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Scopus Q

OpenCitations Logo
OpenCitations Citation Count
3

Source

2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 -- 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 -- 5 April 2017 through 7 April 2017 -- Barcelona -- 132347

Volume

2017-January

Issue

Start Page

556

End Page

560

Collections

PlumX Metrics
Citations

Scopus : 4

Captures

Mendeley Readers : 6

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.1433

Sustainable Development Goals