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...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。展开更多
In this paper, we consider a MUSIC algorithm for locating point-like scatterers contained in a sample on flat substrate. Based on an asymptotic expansion of the scattering amplitude proposed by Ammari et al., the reco...In this paper, we consider a MUSIC algorithm for locating point-like scatterers contained in a sample on flat substrate. Based on an asymptotic expansion of the scattering amplitude proposed by Ammari et al., the reconstruction problem can be reduced to a calculation of Green function corresponding to the background medium. In addition, we use an explicit formulation of Green function in the MUSIC algorithm to simplify the calculation when the cross-section of sample is a half-disc. Numerical experiments are included to demonstrate the feasibility of this method.展开更多
文摘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。
基金supported by the National Natural Science Foundation of China (10971083, 10801063)the School of Mathematical Sciences Foundation of Jilin University
文摘In this paper, we consider a MUSIC algorithm for locating point-like scatterers contained in a sample on flat substrate. Based on an asymptotic expansion of the scattering amplitude proposed by Ammari et al., the reconstruction problem can be reduced to a calculation of Green function corresponding to the background medium. In addition, we use an explicit formulation of Green function in the MUSIC algorithm to simplify the calculation when the cross-section of sample is a half-disc. Numerical experiments are included to demonstrate the feasibility of this method.
