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Updated: Jun 27, 2026
06:25
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
Published on: February 12, 2014
Multi-receiver wide-beam SAS chirp scaling imaging algorithm based on complex dual square-root series inversion.
Yunxin Tan1,2,3, Guangju Li4,5, Weiming Gan6
1Hainan Acoustics Laboratory, Institute of Acoustics, Chinese Academy of Sciences, 570105, Haikou, China. tanyx33@mail3.sysu.edu.cn.
Scientific Reports
|June 25, 2026
Summary
This study introduces a new synthetic aperture sonar (SAS) imaging algorithm that overcomes limitations in wide-beam conditions. The novel approach achieves high-precision, well-focused images, expanding SAS applicability.
Area of Science:
- Marine acoustics
- Sonar imaging technology
- Signal processing
Background:
- Conventional synthetic aperture sonar (SAS) algorithms perform poorly in wide-beam scenarios.
- This limitation hinders the advancement of SAS imaging technology.
- Accurate imaging requires precise derivation of the two-dimensional (2D) spectrum, which is complicated by the dual-square-root (DSR) structure and wide-beam approximations.
Purpose of the Study:
- To develop a high-precision SAS imaging algorithm for wide-beam conditions.
- To overcome the imaging performance degradation associated with wide-beam scenarios.
- To enhance the applicability and effectiveness of SAS imaging technology.
Main Methods:
- Developed a novel algorithm based on series reversion of the dual-square-root (DSR) form.
- Preserved accurate time-domain information and the DSR structure.
- Applied Taylor series expansion and series reversion to derive a closed-form expression of the 2D spectrum.
- Derived a frequency-domain expansion in terms of azimuth and range frequencies.
- Performed matched filtering in azimuth and range directions.
Main Results:
- Achieved well-focused, high-resolution SAS simulation images.
- Demonstrated favorable focusing performance through water-tank experiments.
- Successfully extended the applicability of SAS imaging to wide-beam conditions.
Conclusions:
- The proposed high-precision imaging algorithm effectively addresses the challenges of wide-beam SAS imaging.
- The method provides accurate focusing and high resolution, validated by simulations and experiments.
- This advancement significantly broadens the operational capabilities of SAS technology.
