Contextual Direct Position Determination for Path Loss Informed Localization

Licheng Zhao

doi:10.1109/LSP.2025.3550047

Contextual Direct Position Determination for Path Loss Informed Localization

2025-01-01

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AI

DOI：10.1109/LSP.2025.3550047

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In this letter, we look into the emitter localization task within the Direct Position Determination (DPD) paradigm. This paradigm is by essence a largest eigenvalue problem which treats the channel attenuation variables as free parameters. We consider the channel fading physical rule on electromagnetic signal propagation and reformulate the traditional DPD problem with a channel contextual prior. Thereafter, we develop iterative optimization algorithms based on the majorization-minimization (MM) framework. Numerical results show that the proposed algorithms outperform the traditional DPD estimators with better localization performance.

Keyword:

Receivers

Location awareness

Optimization

Minimization

Eigenvalues and eigenfunctions

Signal processing algorithms

Electromagnetics

Discrete Fourier transforms

Indexes

Fading channels

Emitter localization

direct position determina- tion

channel contextual prior

majorization-minimization

Contextual Direct Position Determination for Path Loss Informed Localization

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