合成孔径声呐并行实时处理研究
Study on real-time and parallel implementation of synthetic aperture sonar signal processing
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摘要: 该文论述了合成孔径声呐(Synthetic Aperture Sonar,SAS)系统的图像重建算法选择、参数选择和并行处理方式,并提出一种基于 SHARC信号处理机 SAS实时成像实现方法,结合自行研制的原理样机中信号处理系统特点,采用两级流水线:第一级利用空间采样间隔时间做序贯处理,完成正交解调、脉冲压缩功能;第二级采用批(帧)处理完成方位聚焦。两级流水线,仅用一级(第二级)的时间开销,就完成了图像重建。为满足实时性要求,两级都采用了并行处理。Abstract: Reconstruction algorithms for Synthetic Aperture Sonar (SAS) are discussed, and choice of SAS parameters and parallel structures are studied in this paper. A SHARC-based real-time processing system for SAS imaging is presented. Two pipelines are used in the system. The first pipeline makes full use of pulse repetition interval and proceed data sequentially, and the second one focuses image data in frame. Therefore, SAS image is reconstructed with only one stage time-consumption though two stages are used. Moreover, parallel processing are used in both stages to meet real-time requirement.
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