BP algorithm for the multireceiver SAS

• Published in: IET radar, sonar & navigation Vol. 13; no. 5; pp. 830 - 838
• Main Authors: Zhang, Xuebo, Yang, Peixuan, Tan, Cheng, Ying, Wenwei
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.05.2019
• Subjects: back projection algorithm; backpropagation; computation complexity; computational complexity; Fourier transforms; frequency domain; FT shifting based BP algorithm; high performance; image sampling; imaging efficiency; imaging performance; interpolation; multireceiver SAS; multireceiver synthetic aperture sonar; neural nets; oversampling‐based BP algorithm; radar computing; range Fourier transformation; Research Article; sonar imaging; standard BP algorithm; synthetic aperture sonar; time domain; Fourier transforms; time domain; FT shifting based BP algorithm; imaging efficiency; standard BP algorithm; sonar imaging; frequency domain; multireceiver synthetic aperture sonar; back projection algorithm; imaging performance; image sampling; interpolation; computation complexity; radar computing; range Fourier transformation; backpropagation; oversampling-based BP algorithm; synthetic aperture sonar; high performance; neural nets; computational complexity; multireceiver SAS
• ISSN: 1751-8784; 1751-8792
• DOI: 10.1049/iet-rsn.2018.5468

The imaging performance and efficiency are two important issues for the multireceiver synthetic aperture sonar (SAS). Back projection (BP) algorithm is characterised by the high performance and low efficiency. In this study, the authors first recall the standard BP algorithm based on the interpolation for the multireceiver SAS. Then, two improved BP algorithms based on the range Fourier transformation (FT) are presented. Considering the fact that the time delay in the time domain can be carried out by the phase shifting in the frequency domain, an FT shifting based BP algorithm avoiding the interpolation error is presented. Although this method produces the focusing result with high performance, it is very time consuming. In order to improve the imaging efficiency without loss of imaging performance, the authors propose an oversampling-based BP algorithm, which is based on the fact that the zero-padding in the frequency domain is equivalent to the interpolation in the time domain. After that, the computation complexity of three BP algorithms is analysed in detail. Finally, simulations and real data are exploited to validate the presented methods.