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Contextual Direct Position Determination for Path Loss Informed Localization

delete2025-01-01
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PRE
AI
L
Licheng Zhao
W
Wenqiang Pu *
R
Rui Zhou
M
Ming‐Yi You
Q
Qingjiang Shi
DOI:10.1109/LSP.2025.3550047delete
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Abstract

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

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

S
Shenzhen Research Institute of Big Data
Scholars:
254
Papers: 350
Citations: 357
T
tongji university
Scholars:
7.7W
Papers: 5.9W
Citations: 98