NSI and Kalman Filter Toolbox
Version 2.0 of GPSoft’s Navigation System Integration and Kalman Filter Toolbox for MATLAB expands upon the previous version by providing enhanced covariance and observability analysis. Integration examples with sensor correction feedback are also provided.
Highlights of the toolbox include GPS stand-alone 8-state and 11-state extended Kalman filters, state-space inertial error modeling, loosely-coupled GPS/INS Kalman filter integration and tightly-coupled GPS/INS Kalman filter integration.
The Navigation System Integration and Kalman Filter Toolbox provides a variety of functions and examples for users to perform both loose and tightly-coupled integration of inertial navigation systems (INS) with satellite-based navigation systems such as GPS. The toolbox also provides examples of stand-alone GPS Kalman filter architectures.
- Open architecture
- All functions can be edited and modified by the user
- Extensive user manual included
- Numerous example programs included
- 1 year of tech support included through GPSoft
Click here for examples of stand-alone GPS Kalman filter architectures for
- GNSS-only Kalman Filters
- State-Space INS Error Modeling
- Trajectories for GNSS/INS Simulations
- Loosely-Coupled GNSS/INS
- Tightly-Coupled GNSS/INS
- Loose vs. Tight under Degraded Satellite Visibility
- Closed-Loop Filtering
Related GNSS, INS and Kalman Courses
If you work with these MATLAB toolboxes, you may be interested in the following course: