A Joint Optimization Method for TDOA-based HF Source Localization with QP Ionosphere Model

A hybrid Sinh Cosh gradient projection (HSCGP) algorithm is proposed for solving the high frequency (HF) source localization based on the monolayer quasi-parabolic (QP) ionosphere model using time-difference of arrival (TDOA) measurements of the refracted radio rays. The algorithm utilizes Sinh Cosh Optimizer (SCHO) and gradient projection (GP) algorithm for joint optimization, introducing a novel information exchange mechanism. The simulation results show that the proposed algorithm is superior to other algorithms in terms of computational efficiency and positioning accuracy.

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Published
2024-10-23
DOI
https://doi.org/10.1109/isape62431.2024.10840709
Primary Topic
GNSS positioning and interference
Type
article
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article

A Joint Optimization Method for TDOA-based HF Source Localization with QP Ionosphere Model

Jiajie Li, Wenwen Liu, Xu Zhang
GNSS positioning and interference
article

A Joint Optimization Method for TDOA-based HF Source Localization with QP Ionosphere Model

Jiajie Li, Wenwen Liu, Xu Zhang
article en

Abstract

A hybrid Sinh Cosh gradient projection (HSCGP) algorithm is proposed for solving the high frequency (HF) source localization based on the monolayer quasi-parabolic (QP) ionosphere model using time-difference of arrival (TDOA) measurements of the refracted radio rays. The algorithm utilizes Sinh Cosh Optimizer (SCHO) and gradient projection (GP) algorithm for joint optimization, introducing a novel information exchange mechanism. The simulation results show that the proposed algorithm is superior to other algorithms in terms of computational efficiency and positioning accuracy.

Xiangtan University (CN)
Affordable and clean energy
Openalex Percentile: Top 56%
GNSS positioning and interference
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