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Contextual Direct Position Determination for Path Loss Informed Localization
DOI:10.1109/LSP.2025.3550047.png)
Abstract
En 中文
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.
Keywords:
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
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W

