Underwater Acoustic Field Reconstruction Using a Compressive Sensing Approach

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	Underwater Acoustic Field Reconstruction Using a Compressive Sensing Approach
	Sun J(孙洁); Song, Aijun ; Yu JC(俞建成); Zhang AQ(张艾群); Zhang FM(张福民)
	2017
会议名称	OCEANS 2017 MTS/IEEE Anchorage
会议日期	September 18-21, 2017
会议地点	Anchorage, USA
页码	1-5
通讯作者	Sun J(孙洁)
中文摘要	In this paper, we apply a block-based compressive sensing (BCS) architecture to address the reconstruction of underwater acoustic intensity fields. Although with anisotropic characteristics, underwater acoustic intensity fields can be compressed or represented in sparse transform domains. The distinct advantages of the BCS method include no need for any prior knowledge of the interested acoustic fields and no need for complete sampling coverage. Both benefits can facilitate experimentation and improve reconstruction precision. We demonstrated the recovery capability by applying this algorithm to the reconstruction of simulated acoustic fields in the Gulf of Mexico, where the bathymetry and water column showed high levels of spatial variability. Further, a field experiment was conducted at a local river, Lake Tamaha, where an autonomous underwater vehicle navigated during acoustic transmissions. Reconstruction performance comparisons were made between the BCS and interpolation methods at different measurement ratios.
收录类别	EI
产权排序	1
会议录	OCEANS 2017 MTS/IEEE Anchorage
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-0-692-94690-9
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/21294]
专题	海洋机器人卓越创新中心
作者单位	1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang,110016, P.R.China 2.School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA 3.University of Chinese Academy of Sciences, Beijing, 100049, P.R.China 4.Department of Electrical Engineering, University of Alabama, Tuscaloosa, Alabama 35487, USA
推荐引用方式 GB/T 7714	Sun J,Song, Aijun,Yu JC,et al. Underwater Acoustic Field Reconstruction Using a Compressive Sensing Approach[C]. 见:OCEANS 2017 MTS/IEEE Anchorage. Anchorage, USA. September 18-21, 2017.