State-Vector Estimation from Multi-Sensor Radar Data with Deep Learning Architectures
Deep Learning methods have shown that they can be efficiently used to estimate radar parameters on synthetic datasets that were used both for training and performance evaluation1 2. However, applying these methods to real measurement data remains challenging. This is mostly due to the scarcity of labeled measurement data and the associated difficulty of obtaining sufficiently labeled datasets3.