Integrated Navigation System: GPS and Inertial Navigation
This technical overview explains GPS and inertial navigation integration using sensor fusion algorithms, implemented through Kalman filtering for enhanced positioning accuracy.
GPS Global Positioning Systems - Principles and Implementation Approaches
International Classic Textbook: GPS Global Positioning Systems - Inertial Navigation and Integration (Wiley 2001) with Algorithm and System Integration Insights
Initial Alignment for Inertial Navigation Systems: NED Frame Implementation with 10-State Kalman Filter
Implementation of initial alignment for inertial navigation using North-East-Down (NED) coordinate system with 10 state variables including sensor errors and misalignment parameters, featuring Kalman filter-based estimation algorithm
High-Precision Inertial Navigation Algorithm
High-precision inertial navigation solution program featuring experimental trajectory generation, inertial navigation computation, and advanced algorithm implementation with MATLAB/Python code examples
Unscented Kalman Filter for Integrated Inertial Navigation and GPS Navigation
MATLAB simulation of integrated inertial navigation and GPS navigation using the Unscented Kalman Filter algorithm, including implementation details and validation
Transfer Alignment Procedure for Inertial Navigation Systems
Transfer alignment procedure for inertial navigation systems, implementing velocity plus attitude matching method with sensor data fusion algorithms.
Strapdown Inertial Navigation Algorithm Implementation in MATLAB
MATLAB implementation of strapdown inertial navigation algorithm with included sample coordinate points for testing and validation.
Inertial Navigation System Implementation in MATLAB
MATLAB implementation of inertial navigation algorithms with executable code examples and sensor parameter configuration guidance
Inertial Navigation Error Analysis Program
This inertial navigation error analysis program generates error curve plots and simulates real-system error characteristics, featuring Monte Carlo simulations and statistical error modeling algorithms.
Large Misalignment Angle Initial Alignment Using UKF
Large misalignment angle initial alignment implementation using Unscented Kalman Filter (UKF) for inertial navigation system initialization, featuring nonlinear state estimation and sigma point transformation