clutter mitigation in airborne radar using deterministic subspace clutter and direct data domain

space-time adaptive processing is used for clutter mitigation in airborne radars. in this paper, deterministic clutter subspace and direct data domain methods are introduced due to the fact that space-time adaptive processing algorithm requires estimating covariance matrix, limited training data and high complexity in processing. in first proposed method, filter coefficients are calculated by estimating airborne radar parameters and also calculating of interference matrix. the sensitivity of estimated parameter is also calculated. by extending clutter subspace, the proposed method could be get more robust against parameter estimation. in other proposed method, direct data domain is used for calculating coefficients vector. finally, tried to improve the performance of our proposed algorithms by utilizing other methods such as using more taps and deterministic clutter subspace.