Source code for M.T. Hoang, B. Yuen, X. Dong, T. Lu, R. Westendorp and K. Reddy, “Recurrent Neural Networks for Accurate RSSI Indoor Localization,” IEEE Internet of Things Journal, 2019
- Step1_FilterDatabase.m: Filter the database with Average Weighted Filter or Mean Filter
- Step2_Create_RandomTraj.m: Generate random training trajectories under the constraints that the distance between consecutive locations is bounded by the maximum distance a user can travel within the sample interval in practical scenarios.
- Step2_CreateInputTraining_Model5: Create the input training data for P-MIMO LSTM
- RNN models training code (Using Keras and Tensorflow)
- LSTM_Model_1.py
- LSTM_Model_2.py
- LSTM_Model_3.py
- LSTM_Model_4.py
- LSTM_Model_5.py