Joint fading coefficient and DOA estimation with known waveforms in multipath environment

We consider maximum likelihood (ML) estimation of the direction of arrival (DOA) and fading coefficients in multipath environment when the incident signal have known waveforms. A efficient iterative algorithm based on alternating maximization technique has been presented and Cramér-Rao bound (CRB) for ML estimator is also obtained. Finally, numerical examples are illustrated to assess the performance of the proposed ML estimator and make comparisons with existing alternatives.