Explore MATLAB source code curated for "初始对准" with clean implementations, documentation, and examples.
Custom-developed integrated navigation Kalman filtering program featuring sensor data acquisition, initial alignment algorithms, and strapdown inertial navigation calculation modules with optimized sensor-specific processing
This implements initial alignment for strapdown inertial navigation using Kalman filtering, referenced from a Harbin Engineering University master's thesis with good performance, though the observation vector construction methodology remains unclear. The implementation involves sensor data preprocessing, state initialization, and recursive filtering cycles.
MATLAB implementation of Kalman filter for strapdown inertial navigation system initial alignment with comprehensive code structure and algorithm explanation
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
MATLAB Implementation of Initial Alignment Filtering Techniques for Strapdown Inertial Navigation Systems with Code-level Descriptions
MATLAB source code for initial alignment of inertial navigation systems, featuring algorithm implementation examples and key function demonstrations to support research in inertial navigation alignment techniques
Implementation of EKF for initial alignment in strapdown inertial navigation systems? How to perform initial alignment under large azimuth misalignment angles using EKF-based algorithms
A MATLAB-implemented robust filtering algorithm applied to GPS/INS integrated navigation systems and initial alignment, featuring comparative analysis between robust filtering and Kalman filtering methods with implementation insights
MATLAB-implemented strapdown inertial navigation initial alignment program featuring both moving base and stationary base alignment algorithms with comprehensive code documentation.
Implementation of custom robust filtering algorithms for initial alignment in inertial navigation systems under stationary base conditions, featuring enhanced noise handling and stability mechanisms