Due to the limited resolution and the effect of strong and weak targets

FFT-based algorithm cannot effectively estimate the velocities of dense strong and weak targets located in the same range gate.To deal with these issues

a modified Capon (MCapon) algorithm based on iterative adaptive algorithm (IAA) is proposed to achieve the high-resolution velocity estimation of strong and weak targets with the close centers.The proposed algorithm first applies Keystone transform to correct the range walks of multiple moving targets

and then IAA is applied to obtain the reconstructed covariance matrix.After matrix eigenvalue decomposition

a MCapon detector is proposed to focus multiple targets

which keeps the outputs with the same amplitudes

i.e.

the constant 1.Finally

the high-resolution velocity estimation is achieved.Therefore

the proposed algorithm can significantly improve the resolution and robustness in velocity estimation of dense strong and weak targets.Simulated results validate the effectiveness of the proposed algorithm.