Target estimation by iterative reweighted lq l q minimization for MIMO radar
A regularized iterative reweighted minimization approach (RIRMA) is proposed for multiple-input multiple-output (MIMO) radar imaging. A closed-form solution of the optimization problem is obtained for next iteration. Its estimation performance is superior to existing imaging algorithms in anglerangeDoppler imaging. In RIRMA, the reduction of q decreases the iteration times without loss of angular resolution and Doppler resolution.
iterative reweighted multiple-input multiple-output (mimo) radar radar imaging sparse signal