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Synthetic aperture sonar processing for widebeam/broadband data

机译:宽边/宽带数据的合成孔径声纳处理

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A key supporting technology for future naval capabilities (FNCs) in long-range search and survey will be synthetic aperture sonar (SAS). The few existing, R&D, SAS systems tend to have relatively narrow bandwidth and beamwidth. In order to attain FNC goals of high resolution at long ranges, system designs will be driven toward both larger bandwidth and wider beam-width. In this study we emulate broadband and wide-beam data in order to analyze their implications for SAS processing. We specifically break the processing into the three steps: motion estimation, motion compensation, and image formation. The modeled data include beam patterns that are wide and frequency dependent as expected for widebeam/broad-band systems. For such systems, the interplay between beam-width and bandwidth will cause the frequency content of the received waveforms to depend on both the range and the bearing of the target. This complicates motion estimates that are based on correlating signals from sequential pings. Because data are linear combinations of signals from potentially very different bearings, the motion compensation step is more complicated as well. Both the motion estimation and motion compensation steps are more naturally addressed after the data are transformed to range-bearing space.
机译:在远程搜索和调查中的未来海军能力(FNC)的关键支持技术将是合成孔径声纳(SAS)。少数现有的研发,SAS系统往往具有相对窄的带宽和横宽。为了实现长距离范围的高分辨率的FNC目标,系统设计将朝向较大的带宽和更宽的梁宽驱动。在这项研究中,我们模拟了宽带和宽梁数据,以分析它们对SAS处理的影响。我们专门将处理分成三个步骤:运动估计,运动补偿和图像形成。所建模的数据包括宽和频率的波束模式,与宽波/宽带系统的预期相比。对于这种系统,光束宽和带宽之间的相互作用将导致接收波形的频率内容取决于目标的范围和轴承。这使得基于与顺序凸形相关信号的运动估计复杂化。因为数据是来自潜在非常不同轴承的信号的线性组合,所以运动补偿步骤也更加复杂。在将数据变换为轴承空间之后,运动估计和运动补偿步骤都更自然地解决。

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