In this paper, we propose a new method to jointly estimate the Mobile Veocity (MV) and the Direction of Movement (DM). We exploit the NLOS multipath environment with Uniform Linear Arrays (ULAs) at the receiver. We consider the Gaussian and the Laplacian angular distribution for the incoming angle of arrivals, for being the most used ones in the literature. The proposed method uses the magnitudes and the phase of the received signals Cross-Correlation Functions (CCFs). We take as a benchmark the Tow Rays (TR) approach for the MV estimate. Performance is assessed via Monte Carlo simulation. Using the Root Mean Square Error (RMSE) as a measure of performance, our new estimator performs well over wide MV and DM ranges and outperforms the TR one for the MV estimation.
['Nessrime Ben Rejeb', 'Inès Bousnina', 'M. Bassem Ben Salah', 'Abdelaziz Samet']
Mobile velocity and direction of movement estimation in NLOS multipath environment