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多接收基元合成孔径声呐频域数据融合算法
引用本文:张友文,张殿伦,田坦,孙大军.多接收基元合成孔径声呐频域数据融合算法[J].声学技术,2007,26(6):1094-1097.
作者姓名:张友文  张殿伦  田坦  孙大军
作者单位:哈尔滨工程大学水声工程学院,哈尔滨,150001
基金项目:哈尔滨工程大学校科研和教改项目
摘    要:单接收基元合成孔径声呐基阵的速度是严格受到限制的,这主要是由于为了保证方位向不出现栅瓣,方位的采样间隔必须小于换能器的半径。通过使用Vernier阵技术可以增加声呐平台的速度,同时在相同的时间内获得比单个接收基元合成孔径声呐更大的测绘面积。虽然我们可以通过预处理把多接收基元的回波数据转换成单接收基元的回波数据,但是这种处理需要耗费大量的时间,因此最终影响整个合成孔径处理算法的效能。文章提供了一个高效的多接收基元合成孔径声呐数据融合方法,该方法主要是利用了快速的傅里叶变换算法把数据变换到频域,然后再进行数据预处理,因此提高了数据融合的有效性,水池试验结果表明该算法是有效的和精确的。

关 键 词:合成孔径声呐  多接收基元  数据融合
文章编号:1000-3630(2007)-06-1094-04
收稿时间:2005-09-24
修稿时间:2006-04-06

A frequency domain data confusion algorithm for multiple receivers synthetic aperture sonar imaging
ZHANG You-wen,ZHANG Dian-lun,TIAN Tan and SUN Da-jun.A frequency domain data confusion algorithm for multiple receivers synthetic aperture sonar imaging[J].Technical Acoustics,2007,26(6):1094-1097.
Authors:ZHANG You-wen  ZHANG Dian-lun  TIAN Tan and SUN Da-jun
Affiliation:School of Underwater Acoustics Engineering, Harbin Engineering University, Harbin 150001, China;School of Underwater Acoustics Engineering, Harbin Engineering University, Harbin 150001, China;School of Underwater Acoustics Engineering, Harbin Engineering University, Harbin 150001, China;School of Underwater Acoustics Engineering, Harbin Engineering University, Harbin 150001, China
Abstract:Single hydrophone synthetic aperture sonar (SAS) is velocity limited,since the sampling space along azimuth is restricted to less than half the extent of the largest transducer to avoid side lobe. By using Vernier array technique,the platform velocity can be increased to allow a larger area to be covered within the same time constraints. Although it is possible to preprocess the multiple hydrophone data into the equivalent single hydrophone data,the underlying efficiency of image reconstruction process is often lost due to the inefficiencies of the preprocessing stage. This paper provides a multiple receivers SAS data confusion algorithm,which transforms the SAS data into frequency domain by Fast Fourier Transform,and then preprocesses the data. The results from pool trial show that this algorithm is very efficient and accurate.
Keywords:synthetic aperture sonar  multiple receivers  data confusion
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