Study of Multibeam Synthetic Aperture Sonar line-by-line imaging algorithm

2012 ◽  
Author(s):  
Haisen Li ◽  
Jian Xu ◽  
Tian Zhou
Keyword(s):  
Synthetic Aperture ◽  
Imaging Algorithm ◽  
Synthetic Aperture Sonar ◽  
Line Imaging

Accelerating range Doppler imaging algorithm for multiple-receiver synthetic aperture sonar on multi-core-based architectures

2019 ◽  
Vol 24 (13) ◽  
pp. 9777-9788
Author(s):  
Zhong Heping ◽  
Tang Jinsong ◽  
Tian Zhen ◽  
Wu Haoran ◽  
Ma Mengbo
Keyword(s):  
Doppler Imaging ◽  
Synthetic Aperture ◽  
Imaging Algorithm ◽  
Synthetic Aperture Sonar ◽  
Multiple Receiver

scholarly journals An Imaging Algorithm for Multireceiver Synthetic Aperture Sonar

2019 ◽  
Vol 11 (6) ◽  
pp. 672 ◽  
Author(s):  
Xuebo Zhang ◽  
Cheng Tan ◽  
Wenwei Ying
Keyword(s):  
Frequency Domain ◽  
Evaluation Method ◽  
Real Data ◽  
Synthetic Aperture ◽  
Reference Spectrum ◽  
Coupling Term ◽  
Imaging Algorithm ◽  
Synthetic Aperture Sonar ◽  
The Difference ◽  
Imaging Performance

For the multireceiver synthetic aperture sonar (SAS), the point target reference spectrum (PTRS) in the two-dimensional (2D) frequency domain and azimuth modulation in the range Doppler domain were first deduced based on a numerical evaluation method and accurate time delay. Then, the difference between the PTRS and azimuth modulation generated the coupling term in the 2D frequency domain. Compared with traditional methods, the PTRS, azimuth modulation and coupling term was better at avoiding approximations. Based on three functions, an imaging algorithm is presented in this paper. Considering the fact that the coupling term is characterized by range variance, the range-dependent sub-block processing method was exploited to perform the decoupling. Simulation results showed that the presented method improved the imaging performance across the whole swath in comparison with existing multireceiver SAS processor. Furthermore, real data was used to validate the presented method.

scholarly journals Improved Chirp Scaling Algorithm for Processing Squinted Mode Synthetic Aperture Sonar Data

2016 ◽  
Vol 16 (6) ◽  
pp. 111-122
Author(s):  
Naiqiang Fan ◽  
Yingmin Wang ◽  
Yarong Lv
Keyword(s):  
Frequency Spectrum ◽  
Synthetic Aperture ◽  
Target Point ◽  
Imaging Algorithm ◽  
Synthetic Aperture Sonar ◽  
Compensation Factor ◽  
Traditional Algorithm ◽  
Order Degree ◽  
Specific Mapping ◽  
Chirp Scaling Algorithm

Abstract The conventional Chirp Scaling Algorithm is mainly used in side looking or small squint angle mode of synthetic aperture imaging. In application of synthetic sonar, the large squint angle imaging is often required and the range-azimuth coupling is serious. On the basis of studying the principle of the conventional Chirp Scaling Algorithm, we improved the imaging algorithm in large squint mode. We analysed the structure of the echo frequency spectrum and the compensation of phase factor. The improved imaging algorithm designs a more precision of phase compensation factor, and eliminates the high order degree of range and azimuth coupling in the specific mapping band. Any target point is simulated in imaging region by using the improved algorithm. The simulation conclusion showed that the improved Chirp Scaling Algorithm is able to meet the imaging focus and is more suitable to slant imaging as compared with the traditional algorithm.

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