A Direct Localization Method for HF Source Geolocation and Experimental Results

Xia, Nan; Xing, Baohui

doi:10.1109/lawp.2021.3061507

Cited by 6 publications

(1 citation statement)

References 11 publications

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“…What differentiates it from [5] is that the authors of [16] turn instead to Kalman particle filtering for the state estimation of the HF source location and virtual heights of the ionosphere. Interested readers are referred to [17] for a performance comparison between [5] and [16].…”

Section: Preliminaries and Problem Formulationmentioning

confidence: 99%

Globally Optimized TDOA High-Frequency Source Localization Based on Quasi-Parabolic Ionosphere Modeling and Collaborative Gradient Projection

Xiong

Schindelhauer

2023

IEEE Trans. Aerosp. Electron. Syst.

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We investigate the problem of high frequency (HF) source localization using the time-difference-of-arrival (TDOA) observations of ionosphere-refracted radio rays based on quasiparabolic (QP) modeling. An unresolved but pertinent issue in such a field is that the existing gradient-type scheme can easily get trapped in local optima for practical use. This will lead to the difficulty in initializing the algorithm and finally degraded positioning performance if the starting point is inappropriately selected. In this paper, we develop a collaborative gradient projection (GP) algorithm in order to globally solve the highly nonconvex QPbased TDOA HF localization problem. The metaheuristic of particle swarm optimization (PSO) is exploited for information sharing among multiple GP models, each of which is guaranteed to work out a critical point solution to the simplified maximum likelihood formulation. Random mutations are incorporated to avoid the This work was supported by the state graduate funding coordinated by Uni Freiburg.

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