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Volume 19, Issue 5
Analyses and Applications of the Second-Order Cross Correlation in the Passive Imaging

Lingdi Wang, Wenbin Chen & Jin Cheng

Commun. Comput. Phys., 19 (2016), pp. 1191-1220.

Published online: 2018-04

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  • Abstract

The first-order cross correlation and corresponding applications in the passive imaging are deeply studied by Garnier and Papanicolaou in their pioneer works. In this paper, the results of the first-order cross correlation are generalized to the second-order cross correlation. The second-order cross correlation is proven to be a statistically stable quantity, with respective to the random ambient noise sources. Specially, with proper time scales, the stochastic fluctuation for the second-order cross correlation converges much faster than the first-order one. Indeed, the convergent rate is of order $\mathcal{O}$($T^{−1+α}$), with 0<α<1. Besides, by using the stationary phase method in both homogeneous and scattering medium, similar behaviors of the singular components for the second-order cross correlation are obtained. Finally, two imaging methods are proposed to search for a target point reflector: One method is based on the imaging function, and has a better signal-to-noise rate; the other method is based on the geometric property, and can improve the bad range resolution of the imaging results.

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@Article{CiCP-19-1191, author = {Lingdi Wang, Wenbin Chen and Jin Cheng}, title = {Analyses and Applications of the Second-Order Cross Correlation in the Passive Imaging}, journal = {Communications in Computational Physics}, year = {2018}, volume = {19}, number = {5}, pages = {1191--1220}, abstract = {

The first-order cross correlation and corresponding applications in the passive imaging are deeply studied by Garnier and Papanicolaou in their pioneer works. In this paper, the results of the first-order cross correlation are generalized to the second-order cross correlation. The second-order cross correlation is proven to be a statistically stable quantity, with respective to the random ambient noise sources. Specially, with proper time scales, the stochastic fluctuation for the second-order cross correlation converges much faster than the first-order one. Indeed, the convergent rate is of order $\mathcal{O}$($T^{−1+α}$), with 0<α<1. Besides, by using the stationary phase method in both homogeneous and scattering medium, similar behaviors of the singular components for the second-order cross correlation are obtained. Finally, two imaging methods are proposed to search for a target point reflector: One method is based on the imaging function, and has a better signal-to-noise rate; the other method is based on the geometric property, and can improve the bad range resolution of the imaging results.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.scpde14.26s}, url = {http://global-sci.org/intro/article_detail/cicp/11125.html} }
TY - JOUR T1 - Analyses and Applications of the Second-Order Cross Correlation in the Passive Imaging AU - Lingdi Wang, Wenbin Chen & Jin Cheng JO - Communications in Computational Physics VL - 5 SP - 1191 EP - 1220 PY - 2018 DA - 2018/04 SN - 19 DO - http://doi.org/10.4208/cicp.scpde14.26s UR - https://global-sci.org/intro/article_detail/cicp/11125.html KW - AB -

The first-order cross correlation and corresponding applications in the passive imaging are deeply studied by Garnier and Papanicolaou in their pioneer works. In this paper, the results of the first-order cross correlation are generalized to the second-order cross correlation. The second-order cross correlation is proven to be a statistically stable quantity, with respective to the random ambient noise sources. Specially, with proper time scales, the stochastic fluctuation for the second-order cross correlation converges much faster than the first-order one. Indeed, the convergent rate is of order $\mathcal{O}$($T^{−1+α}$), with 0<α<1. Besides, by using the stationary phase method in both homogeneous and scattering medium, similar behaviors of the singular components for the second-order cross correlation are obtained. Finally, two imaging methods are proposed to search for a target point reflector: One method is based on the imaging function, and has a better signal-to-noise rate; the other method is based on the geometric property, and can improve the bad range resolution of the imaging results.

Lingdi Wang, Wenbin Chen and Jin Cheng. (2018). Analyses and Applications of the Second-Order Cross Correlation in the Passive Imaging. Communications in Computational Physics. 19 (5). 1191-1220. doi:10.4208/cicp.scpde14.26s
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