In this paper, to overcome signal-to-interference-and-noise ratio (SINR) performance degradation in the presence of steering vector (SV) mismatch between beam pointing and desired signal's SVs, we study the mismatch of SV with adaptive uncertainty level. This estimation is derived based on the geometrical interpretation of the mismatch and can be expressed as a simple closed-form expression as a function of the presumed SV and the signal-subspace projection. Then, the adaptive uncertainty algorithm self-adjusts the uncertainty sphere according to the estimated mismatch SV at each iteration. Finally, the robust adaptive sidelobe canceller (R-IASLC) algorithm can accurately evaluate the mismatches between the actual and presumed SVs and improve the target SINR. Simulation results verify the effectiveness of this method.
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