Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (10): 3247-3256.doi: 10.12305/j.issn.1001-506X.2024.10.01

• Electronic Technology •    

Three-dimensional fast factorized back projection SAS imaging algorithm accelerated by GPU

Hongbo TAO1,2, Dongsheng ZHANG1,*, Yong HUANG3   

  1. 1. Laboratory of Ocean Acoustic Technology, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
    2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
    3. Ningbo "Five-in-One" Campus Education Development Center, Zhejiang University, Ningbo 315100, China
  • Received:2023-07-17 Online:2024-09-25 Published:2024-10-22
  • Contact: Dongsheng ZHANG

Abstract:

The back projection (BP) algorithm is an accurate time-domain imaging algorithm, but the high computational complexity of the BP algorithm makes it difficult to achieve real-time imaging. Especially when three-dimensional imaging is considered, the computational complexity of the BP algorithm will further increase. The paper proposes a three-dimensional fast factorized BP (FFBP) imaging algorithm applied to synthetic aperture sonar (SAS), and accelerates the three-dimensional FFBP algorithm using a graphics processing unit (GPU). After testing on point targets, the calculation time is reduced from the original 263 s to 2.3 s, solving the real-time imaging problem in SAS. At the same time, the imaging effect of the proposed algorithm under non-ideal trajectories is verified. The results show that when a sinusoidal disturbance with an amplitude not exceeding 0.1 m (within one wavelength) is added, there is still a good focusing effect on the point target.

Key words: fast factorized back projection (FFBP), parallel computing, graphics processing unit (GPU), synthetic aperture sonar (SAS), three-dimensional imaging

CLC Number: 

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