Research on Compression Sensing Positioning Algorithm of Indoor Complex Environment Visible Light Indoor Based on...

Area of Science:

• Electrical Engineering
• Computer Science
• Signal Processing

Background:

• Urbanization increases demand for sophisticated indoor positioning systems.
• Visible light communication (VLC) offers advantages over traditional indoor positioning.
• Environmental factors like noise and reflections degrade positioning accuracy.

Purpose of the Study:

• To develop an improved indoor visible light positioning algorithm.
• To address accuracy limitations of traditional APIT algorithms under environmental interference.
• To enhance the precision of indoor positioning using LED technology.

Main Methods:

• Applied compressed sensing theory to visible light localization.
• Defined receiver position as a sparse variable in discrete space.
• Proposed a hybrid APIT algorithm incorporating triangle area and tangent circle properties.
• Utilized a hybrid centroid localization algorithm for final position estimation.

Main Results:

• The hybrid APIT algorithm improves initial node positioning accuracy.
• Tangent circle further refines the potential location area of unknown nodes.
• The proposed algorithm demonstrates enhanced positioning precision compared to traditional methods.

Conclusions:

• The hybrid APIT algorithm effectively mitigates environmental noise and reflection impacts.
• This method offers a more robust and accurate solution for indoor visible light positioning.
• The study contributes to advancements in reliable indoor navigation and localization technologies.