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Massive MIMO for Multi-LEO Satellite Positioning
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DOI：10.1109/LWC.2025.3640615.png)
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Abstract
En 中文
The integration of massive multiple-input multiple output (MIMO) with multiple low earth orbit (LEO) satellites enables ubiquitous positioning by leveraging the high angular resolution of the former. Building on this feature, we propose an angle-based positioning method for terrestrial users in massive MIMO multi-LEO satellite systems, which operates without relying on precise synchronization between the satellite and user clocks. Specifically, exploiting altitude information as prior knowledge, we derive the position error bound (PEB) and propose a two-step positioning method: first, estimated channel parameters are obtained via the beamspace tensor-ESPRIT algorithm; then, under the altitude constraint, we formulate a manifold optimization problem to derive the user terminal’s position using angular information. Simulation results demonstrate that the proposed scheme attains satisfactory estimation performance in massive MIMO multi-LEO satellite positioning systems.
Keywords:
Multi-LEO satellites
massive MIMO
PEB
positioning
manifold optimization
Journal
I
IF:
5.5
Papers:
682
Citations:
0