On Broadband Adaptive Beamforming in the Presence of Correlated Interferences

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A novel approach of unitarily interpolated array MVDR (UIA-MVDR) is proposed, aiming at avoiding the signal cancellation caused by broadband signal-correlated interferences. UIA-MVDR belongs to the classic approaches of spectral averaging. However, it is distinguished from the conventional interpolated array MVDR (IA-MVDR) by two points: 1) It imposes a unitary constraint on the transform matrices. 2) It only optimizes the worst-case performance of array manifold approximation. As a result, the restriction on the order of Bessel function expansion is released, so that very accurate approximation can be achieved even in the case of small or middle arrays. Compared with many related approaches, UIA-MVDR destroys the correlation more completely and then achieves better performance. Its excellent performance in both correlated and uncorrelated broadband interferences suppression is confirmed via a number of numerical examples.
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