Adaptive Beamforming with Hydrophone Arrays Based on Oblique Projection in the Presence of the Steering Vector Mismatch

In sonar systems, the performance of adaptive beamformers severely degrades when mismatches occur between actual and presumed steering vectors desired signal, mainly due to hydrophone position errors, amplitude-phase scattered effect arrays. Similarly, an inadequate number “training” samples can lead degradations similar those caused by mismatches. this paper, beamforming algorithm based on oblique projection (OP-ABF) mismatch compensation is proposed remove degradation arbitrary-type vector signal. The motivated fact that weight be represented as a linear combination optimal one (OP) vector, which generated does not exist without this. Our was developed constructing (OPMCV) provide minimum variance distortionless response (MVDR) beamformer. Then, could implemented solution OP matrix with formulation covariance loading (CML). simulation results uniform array (ULA) half-cylindrical conformal (HCCA) show OP-ABF optimize original much possible sacrificing output signal-to-interference-plus-noise ratio (SINR) under different conditions. Experimental for HCCA also confirm effectiveness algorithm.