Improved Spatial Modulation Diversity with High Noise Robust Based on Deep Denoising Convolution Neural Network

doi:10.1007/s10946-020-09862-0

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	Improved Spatial Modulation Diversity with High Noise Robust Based on Deep Denoising Convolution Neural Network
	Yang, Xinxin 2,3; Ren, Ge 2,3; Ma, Haotong 3; Xu, Yangjie 2,3; Wang, Jihong 3
刊名	JOURNAL OF RUSSIAN LASER RESEARCH
	2020-03-20
卷号	41 期号:2 页码:171-180
ISSN号	1071-2836
DOI	10.1007/s10946-020-09862-0
文献子类	期刊论文
英文摘要	Synthetic aperture imaging systems can be applied to equivalently get high-resolution images of traditional monolithic primary mirror systems with less weight and costs. Spatial modulation diversity (SMD), a newly developed post-processing technology applicable for such synthetic aperture systems, is very sensitive to Gaussian noise, which greatly limits its further application. In this paper, we propose an improved SMD strategy by introducing the deep denoising convolutional neural networks (DnCNN) into the image preprocessing to improve the robustness of SMD. Results of the numerical simulations demonstrate that the strategy proposed exhibits superior performance compared to the traditional SMD technique in terms of both the root-mean-square error (RMSE) of phase estimates and the structural similarity (SSIM) of image reconstruction. In view of the superiority and robustness, the method we proposed may have important application prospects in multi-aperture imaging systems.
语种	英语
WOS记录号	WOS:000520928100001
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/10159]
专题	光电技术研究所_光电工程总体研究室（一室）
作者单位	1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Opt & Elect, Chengdu, Peoples R China 3.Chinese Acad Sci, Key Lab Opt Engn, Chengdu, Peoples R China
推荐引用方式 GB/T 7714	Yang, Xinxin,Ren, Ge,Ma, Haotong,et al. Improved Spatial Modulation Diversity with High Noise Robust Based on Deep Denoising Convolution Neural Network[J]. JOURNAL OF RUSSIAN LASER RESEARCH,2020,41(2):171-180.
APA	Yang, Xinxin,Ren, Ge,Ma, Haotong,Xu, Yangjie,&Wang, Jihong.(2020).Improved Spatial Modulation Diversity with High Noise Robust Based on Deep Denoising Convolution Neural Network.JOURNAL OF RUSSIAN LASER RESEARCH,41(2),171-180.
MLA	Yang, Xinxin,et al."Improved Spatial Modulation Diversity with High Noise Robust Based on Deep Denoising Convolution Neural Network".JOURNAL OF RUSSIAN LASER RESEARCH 41.2(2020):171-180.