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