Integrated Navigation System: GPS and Inertial Navigation

Resource Overview

This technical overview explains GPS and inertial navigation integration using sensor fusion algorithms, implemented through Kalman filtering for enhanced positioning accuracy.

Detailed Documentation

This article discusses the technology of "Integrated Navigation System: GPS and Inertial Navigation." This approach combines the strengths of GPS and inertial navigation systems to deliver more accurate and reliable navigation and positioning services. GPS relies on satellite signals for positioning calculations, while inertial navigation determines position and orientation by measuring acceleration and angular velocity through inertial measurement units (IMUs). By integrating both technologies using sensor fusion algorithms (typically implemented through Kalman filters or complementary filters), the system mitigates their individual limitations: GPS signals may suffer from occlusion or interference causing positioning errors, while inertial navigation systems accumulate errors over time leading to position drift. The integrated navigation system therefore provides superior precision and reliability, particularly in complex environments or poor signal conditions. Implementation typically involves data synchronization, coordinate system alignment, and real-time error correction algorithms that continuously adjust inertial measurements using GPS updates when available.