Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (2): 37-41.doi: 10.16180/j.cnki.issn1007-7820.2019.02.008

Previous Articles     Next Articles

The Least Mean Square Ultrasonic Beamforming Algorithm Based on GSC

LUO Ying,WU Qiang,QIN Yun   

  1. National Center for International Research on Structural Health Management of Critical Components,Jiangsu University, Zhenjiang212013,China
  • Received:2018-01-24 Online:2019-02-15 Published:2019-01-02
  • Supported by:
    The National Natural Science Key International Cooperation Project(11520101001)


In order to narrow the width of the main lobe and increase the spatial resolution of conventional ultrasonic apodization algorithm imaging method, a generalized sidelobe canceller under the framework of the Least Mean Square ultrasonic beamforming algorithm was proposed in this paper. The expected signal minimum variance distortionless criterion was adopted to design the generalized sidelobe canceller with which received ultrasonic signalsare decomposed into the adaptive parts (the upper branch) and the non-adaptive parts (the bottom branch). The distortionless desired signal and noise were reserved in the upper branch, and the noise was contained in the bottom branch. Wiener filtering method was used to filter the signals of the two parts by removing noise and exporting the distortionless desired signal. This algorithm was realized in hardware applied by adaptive iteration LMS algorithm, and the detailed FPGA implementation was designed. The simulation results depicted that the main lobe was narrower in this weighted apodization algorithm compared to the conventional amplitude apodization algorithm, and the noise and interference were suppressed to improve the lateral resolution and contrast resolution of ultrasound imaging.

Key words: generalized sidelobe canceller, least mean square, beamforming, FPGA, suppression of interference, contrast

CLC Number: 

  • TN911.72