Bionic Imaging of Underwater Multiple Targets with High Resolution Based on SCAT Model
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摘要: 谱相关及变换(SCAT)模型作为蝙蝠回波处理的经典模型, 具有优异的距离分辨性能, 用来替代人工声呐可较好地完成水下目标定位任务, 且已成为未来水声探测的发展趋势。文中基于简单合理的假设, 推导得出SCAT的距离分辨力为模型滤波器组最大中心频率2倍的倒数, 据此提出一种多目标高分辨仿生成像方法, 对模型参数进行适应性修改即可应用于空气声学、雷达及水下等多种成像场合。通过在水声环境下进行的仿真验证表明, 多目标高分辨仿生成像方法能够完成水下二维声成像, 且距离分辨性能优于传统相关器。Abstract: The spectrogram correlation and transformation(SCAT) model, as the classic model in bat echo processing, has high range resolution. It is used to replace the artificial sonar for better underwater target location, which has become the developing trend of underwater acoustic detection. In this study, based on simple and reasonable assumptions, the range resolution of the SCAT model is strictly deduced, which is a reciprocal of 2 times the maximum center frequency of the filterbank. Then, a bionic imaging method of multiple targets with high resolution is proposed, which can be applied to a variety of imaging cases such as aeroacoustics, radar, and underwater as long as the model parameters are modified adaptively. Simulation results in underwater environment show that the bionic imaging method of multiple targets with high resolution can achieve underwater two-dimensional acoustic imaging with a higher range resolution than traditional correlator.
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