Enhanced radar detection and range estimation via oversampled data

In this work we propose an adaptive receiver with enhanced range estimation capabilities, which jointly exploits the over-sampling of the noisy returns and the spillover of target energy to adjacent range samples. To this end, a proper discrete-time model for the received signal is introduced. Then, the Generalized Likelihood Ratio Test (GLRT) is derived and assessed. The performance analysis highlights that better detection performances and increased range estimation accuracies can be achieved exploiting the oversampling at the price of an additional processing cost.