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An Improved TDOA Method for Land-Based Long-Range HF Skywave Source Geolocation and Experimental Results
The real-time information of the unknown ionospheric environments is difficult to obtain, plaguing the timely and accurate geolocation of high frequency (HF) sources. In this paper, we propose an improved HF skywave source geolocation method based on the time-difference-of-arrival (TDOA) with the se...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823903/ https://www.ncbi.nlm.nih.gov/pubmed/36617104 http://dx.doi.org/10.3390/s23010507 |
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author | Xu, Chen Cai, Hongtao Gao, Shunzu Zhai, Qingwei |
author_facet | Xu, Chen Cai, Hongtao Gao, Shunzu Zhai, Qingwei |
author_sort | Xu, Chen |
collection | PubMed |
description | The real-time information of the unknown ionospheric environments is difficult to obtain, plaguing the timely and accurate geolocation of high frequency (HF) sources. In this paper, we propose an improved HF skywave source geolocation method based on the time-difference-of-arrival (TDOA) with the semidefinite programming (SDP), and model HF signal propagation paths as paths with significant non-line-of-sight (NLOS) biases. With this method, no priori information about the ionosphere, especially the priori ionospheric virtual heights of reflection, is necessary while timely and accurately geolocating the HF sources. Furthermore, we use the ray tracing technique and build a 3D ionospheric electron density gridded matrix model to simulate realistic HF signal propagation paths. In the simulations, the proposed method is compared with existing methods, and detailed geolocation error distribution maps are given. In the experiments, HF I/Q data captured from different types of HF transmitters are located by six receivers with time synchronization. Simulated and experimental results show that the proposed method improves the positioning accuracy by about 50% compared with existing methods under the same conditions, and the average relative positioning error is less than 2.7%. |
format | Online Article Text |
id | pubmed-9823903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98239032023-01-08 An Improved TDOA Method for Land-Based Long-Range HF Skywave Source Geolocation and Experimental Results Xu, Chen Cai, Hongtao Gao, Shunzu Zhai, Qingwei Sensors (Basel) Article The real-time information of the unknown ionospheric environments is difficult to obtain, plaguing the timely and accurate geolocation of high frequency (HF) sources. In this paper, we propose an improved HF skywave source geolocation method based on the time-difference-of-arrival (TDOA) with the semidefinite programming (SDP), and model HF signal propagation paths as paths with significant non-line-of-sight (NLOS) biases. With this method, no priori information about the ionosphere, especially the priori ionospheric virtual heights of reflection, is necessary while timely and accurately geolocating the HF sources. Furthermore, we use the ray tracing technique and build a 3D ionospheric electron density gridded matrix model to simulate realistic HF signal propagation paths. In the simulations, the proposed method is compared with existing methods, and detailed geolocation error distribution maps are given. In the experiments, HF I/Q data captured from different types of HF transmitters are located by six receivers with time synchronization. Simulated and experimental results show that the proposed method improves the positioning accuracy by about 50% compared with existing methods under the same conditions, and the average relative positioning error is less than 2.7%. MDPI 2023-01-02 /pmc/articles/PMC9823903/ /pubmed/36617104 http://dx.doi.org/10.3390/s23010507 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xu, Chen Cai, Hongtao Gao, Shunzu Zhai, Qingwei An Improved TDOA Method for Land-Based Long-Range HF Skywave Source Geolocation and Experimental Results |
title | An Improved TDOA Method for Land-Based Long-Range HF Skywave Source Geolocation and Experimental Results |
title_full | An Improved TDOA Method for Land-Based Long-Range HF Skywave Source Geolocation and Experimental Results |
title_fullStr | An Improved TDOA Method for Land-Based Long-Range HF Skywave Source Geolocation and Experimental Results |
title_full_unstemmed | An Improved TDOA Method for Land-Based Long-Range HF Skywave Source Geolocation and Experimental Results |
title_short | An Improved TDOA Method for Land-Based Long-Range HF Skywave Source Geolocation and Experimental Results |
title_sort | improved tdoa method for land-based long-range hf skywave source geolocation and experimental results |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823903/ https://www.ncbi.nlm.nih.gov/pubmed/36617104 http://dx.doi.org/10.3390/s23010507 |
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