GPF
The GPF class implements the Gaussian particle filter.
Configuration
- Configure the number of particles
Set the number of particles used by the filter with the setNumParticles() method.
- Use a semi-analytic measurement update
Enable a semi-analytic measurement update if a measurement model does not require all state variables with the setStateDecompDim() method.
- Enable post-processing of the predicted state estimate
Set a post-processing method for the state prediction with the setPredictionPostProcessing() method.
- Enable post-processing of the updated state estimate
Set a post-processing method for the measurement update with the setUpdatePostProcessing() method.
Supported Models
System Models |
Measurement Models |
Literature
Jayesh H. Kotecha and Petar M. Djuric, “Gaussian Particle Filtering,” IEEE Transactions on Signal Processing, vol. 51, no. 10, pp. 2592–2601, Oct. 2003.
Jannik Steinbring, Antonio Zea, and Uwe D. Hanebeck, “Semi-Analytic Progressive Gaussian Filtering,” in Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Baden-Baden, Germany, Sep. 2016.