Synthetic Aperture Ultrasonic Imaging Algorithm Based on Robust Capon Beamforming in Eigenspace

doi:10.16182/j.issn1004731x.joss.17-0388

Abstract

Abstract: In order to lower the main lobe width and side lobe amplitude of SAF beams ,improve the robustness of ultrasound imaging algorithm, resolution, contrast in images, a synthetic aperture ultrasonic imaging algorithm based on robust Capon beamforming in eigenspace is proposed. Under the principle of MV, this algorithm firstly uses the Toeplitz to realize the reconstruction of the interference-noise covariance matrix and keep it nonsingular. Secondly, the vector error is constrained by the signal subspace and the elliptic constraint set in feature space. Finally, the optimal weight vector which is used to weight and image the echo data is obtained by Lagrange multiplier method and dichotomy. The simulation results show that ultrasonic image obtained by this method performs better in anti-interference, contrast and resolution and improves the quality of ultrasonic images effectively.

Key words: Eigenspace, robust Capon beamforming, SAF beamforming, ultrasonic imaging

CLC Number:

Guo Yecai, Ji Xiaoxing. Synthetic Aperture Ultrasonic Imaging Algorithm Based on Robust Capon Beamforming in Eigenspace[J]. Journal of System Simulation, 2019, 31(8): 1646-1652.

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