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High-Precision Indoor VLP Scheme Based on the Synergy of SMO Multipath Suppression and Intelligent Algorithms
Yucheng Yang1, Junyi Zhang1, Shaohua Liu1
1School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Sensors (Basel, Switzerland)
|March 28, 2026
Summary
This study introduces a spatial adaptive multipath suppression scheme for visible light positioning (VLP). The novel algorithm enhances accuracy and reduces interference, enabling centimeter-level 3D positioning.
Area of Science:
- Optical Engineering
- Signal Processing
- Indoor Positioning Systems
Background:
- Multipath effects significantly degrade the performance of indoor visible light positioning (VLP) systems.
- Multipath interference intensity varies considerably across different indoor regions, posing a challenge for consistent VLP accuracy.
- Existing VLP systems struggle with accurate Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) path separation in complex environments.
Purpose of the Study:
- To propose a novel spatial adaptive multipath suppression scheme for VLP systems.
- To develop a low-latency algorithm for accurate separation of LOS and NLOS paths.
- To achieve centimeter-level 3D positioning with enhanced robustness against multipath interference.
Main Methods:
- Implemented a hybrid time division multiplexing (TDM) and direct current biased-orthogonal frequency division multiplexing (DCO-OFDM) transmission architecture.
- Designed specialized pilot symbols for sparse channel modeling at the receiver.
- Developed a Spatial Adaptive-Main Path Energy Constraint-Orthogonal Matching Pursuit (SA-MPEC-OMP, SMO) algorithm for adaptive multipath suppression.
Main Results:
- The SMO algorithm demonstrated over 90% main path extraction accuracy across all tested regions.
- The LOS energy ratio achieved by SMO was 2.7 to 3 times higher than the traditional OMP algorithm.
- The integrated 3D VLP scheme achieved centimeter-level positioning accuracy with a single positioning time under 18.7 ms.
Conclusions:
- The proposed spatial adaptive multipath suppression scheme significantly enhances VLP performance in the presence of varying multipath effects.
- The SMO algorithm provides robust and accurate separation of LOS and NLOS paths, crucial for high-precision positioning.
- The synergistic approach of signal design and intelligent algorithms offers a promising solution for practical, high-accuracy 3D indoor positioning.
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