Forward-looking sonar sector transmission and grating lobe suppression imaging method, device, equipment and medium
By adopting a sector-based concurrent transmission and reception processing collaborative design, the problem of grating lobe response in underwater sonar imaging systems was solved, achieving wide field of view and high frame rate imaging quality recovery, adapting to different tasks and hardware constraints, and improving the availability and stability of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- UESTC (SHENZHEN) ADVANCED RES INST
- Filing Date
- 2026-02-10
- Publication Date
- 2026-06-30
AI Technical Summary
In underwater sonar imaging systems, due to limitations in the number of receiving channels, storage bandwidth, and real-time processing capabilities, the use of uniform sparse arrays with element spacing greater than half a wavelength results in significant grating lobe/artifact responses within a wide field of view, leading to target energy aliasing and increased false alarms. Furthermore, existing technologies struggle to meet the combined requirements of wide field of view, high frame rate, and acceptable artifact levels for close-range sensing on small platforms.
By coordinating sector-based concurrent transmission and reception processing, sector configuration and waveform sequence generation are determined, digital frequency conversion processing and partitioned imaging are performed, enabling concurrent illumination and separate processing of multiple sectors within the same transmission cycle, suppressing grating lobe response, and restoring the imaging quality of a uniform sparse array.
Without increasing the number of receiving channels, it significantly reduces grating lobe artifacts and cross-sector crosstalk, expands the usable field of view, improves imaging reliability, enables high frame rate and low power consumption platform deployment, adapts to different tasks and hardware constraints, and improves reusability and maintainability.
Smart Images

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