DL+Fingerprinting model for localizing a robot with Channel responses from antenna.
Hybrid model:
- FingerPrint_Model: contains FP model with data Outputs: csv file with the estimation from the FP model
- DL Model: Contrains the trained DL models and the Hybrid (a regression model to merge the FP with the DL models)
Two methods were chosen to merge the models:
- Simple divergence trained with a single parameter
- XGB
XGB giving better results. The data for the later training was ensured with new tets data and 10 fold cross-validation.
This images shows the two trainings, after, we apply the regression model to the result of the training of both models:
