On Space-Time Adaptive Processing with Linear-Phase Constraint

A STAP algorithm is described, that reduces the signal distortions which are introduced by a standard STAP filter. The reduction is accomplished by introducing additional linear constraints on the space-time filter coefficients. A proper selection of the linear constraints leads to a STAP filter with a linear-phase characteristic (i.e. a filter impulse response with constant group delay). Thereby, the STAP algorithm reduces the signal distortions at the output of the STAP filter. A least-meansquare adaptive filter version of the STAP filter with linear-phase constraints is proposed. The feasibility of the proposed adaptive STAP algorithm with linear-phase characteristic is analyzed based on Monte-Carlo-Simulations.