| 异构环境下的多子阵合成孔径声呐精确后向投影快速成像方法 |
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| 引用本文： | 钟何平,唐劲松,马梦博,田振,吴浩然.异构环境下的多子阵合成孔径声呐精确后向投影快速成像方法[J].武汉大学学报(信息科学版),2022,47(3):405-411. |
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| 作者姓名： | 钟何平 唐劲松 马梦博 田振 吴浩然 |
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| 作者单位： | 1.海军工程大学海军水声技术研究所, 湖北 武汉, 430033 |
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| 基金项目： | 国家自然科学基金42176187国家自然科学基金61671461国家自然科学基金41304015中国博士后科学基金2015M582813 |
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| 摘 要： | 针对多子阵合成孔径声呐精确后向投影成像算法效率低的问题,提出了 一种异构环境下的精确多子阵合成孔径声呐后向投影成像快速方法.在分析精确逐点后向投影成像算法原理的基础上,将脉冲压缩和方位向聚焦过程改造为单指令多线程模式,借助图形处理器(graphics processor unit,GPU)强大的多核计算能力加速成像过程...
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| 关 键 词： | 合成孔径声呐 后向投影算法 并行计算 图形处理器 异构环境 |
| 收稿时间： | 2020-07-27 |
A Fast Accurate Back-Projection Algorithm for Multi-receiver Synthetic Aperture Sonar in Heterogeneous Environment |
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| Affiliation: | 1.Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan 430033, China |
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| Abstract: | Objectives Synthetic aperture sonar (SAS) is one kind of high resolution underwater imaging sonar. Its principle is to use small array to simulate large aperture array by uniforming linear motion along the direction of flight track, and realize coherent processing of echo signal to obtain high resolution two-dimensional sonar image, which is independent of imaging distance and acoustic wavelength. The back projection algorithm is an accurate point-by-point imaging algorithm, which is characterized by accurate focusing ability, suitable for wide beam and large scene imaging, and easy to realize motion compensation, but it has the disadvantages of low computational efficiency. In recent years, with the development of computer technology, especially the appearance of graphics processor unit, it has powerful computing power and provides a new way to accelerate the back projection algorithm. Methods We propose a fast accurate back projection algorithm for multi-receiver SAS in heterogeneous environment. On the basis of analyzing the principle of accurate back-projection imaging algorithm, the pulse compression and time-consuming azimuth accumulation are transformed into a single instruction multi-threaded mode, and the imaging process is accelerated by the powerful multi-core computing ability of graphics processor unit. Results The validity and efficiency of the proposed fast imaging algorithm are verified by the imaging experiments performed on simulated and real SAS data. Compared with the serial imaging algorithm, its acceleration ratio is as high as 326.3 and 333.6. For large-scale data imaging processing, it shows excellent acceleration performance. Conclusions The proposed back projection imaging algorithm greatly improves the imaging efficiency and meets the needs of real-time SAS imaging, which lays the foundation for subsequent motion compensation. |
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