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一种基于MSR的中等斜视多子阵合成孔径声呐距离多普勒算法

A MSR based range Doppler algorithm for the moderate squint multi-aperture synthetic aperture sonar

  • 摘要: 针对现有斜视多子阵合成孔径声呐成像算法忽略了"非停走停"假设的孔径依赖性和阵元依赖性,导致中等斜视时成像效果差的问题,提出了一种基于级数反演方法(Method of Series Reversion,MSR)的中等斜视多子阵合成孔径声呐距离多普勒算法(Range Doppler Algorithm,RDA)。首先,为了解决"非停走停"假设孔径依赖的问题,直接对精确距离史在波束中心处进行泰勒级数展开,得到近似距离史,并借用MSR求得近似距离史对应窄带回波信号的二维谱解析解。然后,为了解决阵元依赖的问题,使用基于MSR的RDA分别对每个子阵单独成像,再通过将每个子阵的成像结果进行相干叠加的方式消除单个子阵欠采样带来的混叠现象,得到完整的成像结果。最后,通过与现有算法的仿真对比实验,验证了该算法的有效性。

     

    Abstract: The existing imaging algorithms for the multi-aperture synthetic aperture sonar (SAS) cannot obtain a good imaging result in the moderate squint case, because they do not take the aperture dependence of the "non-hop-go-hop" hypothesis and the receiver dependence into account. In this paper, a range Doppler algorithm (RDA) based on the method of series reversion (MSR) is proposed for the moderate squint multi-aperture SAS. Firstly, the aperture dependence of the "non-hop-go-hop" hypothesis is taken into account in the imaging algorithm, the exact range history is expanded by the Taylor series expansion at the beam center to obtain the approximated range history, and the analytical expression of the two-dimensional spectrum of the narrow band signal corresponding to the approximated range history is obtained by MSR. Secondly, the signal of each receiver is processed separately with the MSR based RDA to remove the receiver dependence, then the imaging results of different receivers are added coherently together to remove the azimuth aliasing and to reconstruct the image without losing resolution. Finally, the validity of the proposed algorithm is verified by simulation comparison with the exiting algorithm.

     

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