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Application and Extension of Vertical Intensity Lower-Mode in Methods for Target Depth-Resolution with a
Anbang Zhao1,2,3,4, Xuejie Bi5,6,7, Juan Hui8,9,10
1Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China. zhaoanbang@hrbeu.edu.cn.
This study improves target depth resolution using vertical intensity. The new method enhances identification of underwater targets by analyzing normal modes, expanding capabilities for shallow water acoustic detection.
Area of Science:
- Underwater acoustics
- Signal processing
- Target detection
Background:
- Traditional target depth resolution methods using vertical intensity are limited to targets exciting fewer than three normal modes.
- Accurate depth resolution is crucial for distinguishing aerial, surface, and underwater targets in shallow water environments.
Purpose of the Study:
- To improve the method for target depth resolution in shallow water by enhancing the analysis of vertical intensity.
- To expand the working band for target depth resolution beyond the limitations of previous methods.
- To achieve three-dimensional target depth resolution for better target classification.
Main Methods:
- The improved method utilizes the reactive component of vertical intensity.
- Targets are classified based on the lower-mode correlation quantity of vertical intensity.
- The approach is validated using simulation and experimental data.
Main Results:
- The enhanced method successfully resolves the depth of targets whose frequencies excite the first three normal modes.
- This expansion allows for accurate depth identification across a wider frequency range.
- Three-dimensional target depth resolution is achieved, enabling differentiation between aerial, surface, and underwater targets.
Conclusions:
- The improved method offers a significant advancement in target depth resolution for shallow water acoustics.
- The technique effectively broadens the applicability of vertical intensity analysis for underwater target detection.
- The validated algorithm provides a robust solution for distinguishing targets in three dimensions.
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