Deconvolved Beamforming with Spatial Windowing and Incoherent Noise Reduction

doi:10.3969/j.issn.1000-1093.2021.07.013

Abstract

Abstract: A denconvolved beamforming with spatial windowing and incoherent noise reduction is proposed for multi-target resolution and weak target detection under the influence of strong interference and incoherent noise. The noise reduction capacity is estimated based on the number of snapshots.The noise reduction capacity under different conditions of snapshots is obtained by solving the semi-definite programming problem or estimating the eigenvalue of covariance matrix. Then the covariance matrix after reduction is used to perform spatial windowed beamforming to obtain the spatial energy spectrum，and the point spread function of spatial windowed beamformer is proposed to deconvolve the spatial spectrum for the spatial spectrum estimate in the proposed algorithm. Simulation and sea trial data processing show that the proposed algorithm can effectively suppress the effects of strong interference and incoherent noise on the desired signal，and obtain a detection capability that is superior to those of traditional deconvolution algorithms.

Key words: sonar, beamforming, deconvolution, noisereduction, spatialwindowing

CLC Number:

TN911.7

WANG Hao, MA Qiming. Deconvolved Beamforming with Spatial Windowing and Incoherent Noise Reduction[J]. Acta Armamentarii, 2021, 42(7): 1457-1462.

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