GPS (Global Positioning System) is a satellite-based radio navigation system that provides geographic positioning and timing data to receivers anywhere on or near Earth's surface. In the context of indoor and traffic sensing research, GPS serves as a critical reference benchmark for location ground truth and trajectory validation; however, its signal degradation or complete unavailability in indoor environments is precisely what motivates the development of alternative sensing modalities such as WiFi-based CSI localization. Key variants relevant to these fields include standard GPS, differential GPS (DGPS), and Assisted GPS (A-GPS), which offer varying degrees of positional accuracy but remain fundamentally limited in enclosed or urban canyon environments where satellite line-of-sight is obstructed.
Source Papers
- A Standard Indoor Spatial Data Model—OGC IndoorGML and Implementation Approaches ↗ — A Standard Indoor Spatial Data Model—OGC IndoorGML and Imple
- Doppler Effect: Analyses and Applications in Wireless Sensing and Communications ↗ — Doppler Effect: Analyses and Applications in Wireless Sensin
- Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook ↗ — Physics-Informed Deep Learning for Traffic State Estimation: