Distributed Convex Optimization Compressed Sensing Method for Sparse Planar Array Synthesis in 3-D Imaging Sonar Systems.
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| Title: | Distributed Convex Optimization Compressed Sensing Method for Sparse Planar Array Synthesis in 3-D Imaging Sonar Systems. |
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| Authors: | Gu, Boxuan1 (AUTHOR) 11415011@zju.edu.cn, Chen, Yaowu2 (AUTHOR) cyw@mail.bme.zju.edu.cn, Liu, Xuesong3 (AUTHOR) qlhlxs@gmail.com, Zhou, Fan3 (AUTHOR) fanzhou@mail.bme.zju.edu.cn, Jiang, Rongxin3 (AUTHOR) rongxinj@zju.edu.cn |
| Source: | IEEE Journal of Oceanic Engineering. Jul2020, Vol. 45 Issue 3, p1022-1033. 12p. |
| Subjects: | Three-dimensional imaging, Sonar imaging, Imaging systems, Restricted isometry property, Transmission line matrix methods |
| Abstract: | Synthesis of sparse planar arrays can effectively reduce hardware costs and computational complexity in phased array 3-D imaging sonar systems. Traditional stochastic methods, such as simulated annealing, require multiple experiments and parameter adjustments to obtain optimal results. Methods based on compressed sensing (CS) can overcome this defect. However, when applied to large arrays, CS methods require vast computational complexity and may not obtain optimal sparse results because of violating the restricted isometry property. To make CS methods more practical, a distributed convex optimization CS method is proposed here for the sparse planar array synthesis in 3-D imaging sonar systems. This method is based on the CS theory, solving the minimum number of active elements under certain beam pattern constraints using the iterative reweighted l1-norm minimization algorithm. Then, a multistage distributed framework is proposed to decompose the array into multistage subarrays, and the array synthesis is performed sequentially for each stage subarray to reduce computational complexity and obtain higher sparsity rates. Some applications of sparse planar array synthesis are employed to evaluate the efficiency of the proposed method. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Journal of Oceanic Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 144714745 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Distributed Convex Optimization Compressed Sensing Method for Sparse Planar Array Synthesis in 3-D Imaging Sonar Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gu%2C+Boxuan%22">Gu, Boxuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 11415011@zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Yaowu%22">Chen, Yaowu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> cyw@mail.bme.zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Xuesong%22">Liu, Xuesong</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> qlhlxs@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Fan%22">Zhou, Fan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> fanzhou@mail.bme.zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Jiang%2C+Rongxin%22">Jiang, Rongxin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> rongxinj@zju.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Journal+of+Oceanic+Engineering%22">IEEE Journal of Oceanic Engineering</searchLink>. Jul2020, Vol. 45 Issue 3, p1022-1033. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Sonar+imaging%22">Sonar imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems%22">Imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Restricted+isometry+property%22">Restricted isometry property</searchLink><br /><searchLink fieldCode="DE" term="%22Transmission+line+matrix+methods%22">Transmission line matrix methods</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Synthesis of sparse planar arrays can effectively reduce hardware costs and computational complexity in phased array 3-D imaging sonar systems. Traditional stochastic methods, such as simulated annealing, require multiple experiments and parameter adjustments to obtain optimal results. Methods based on compressed sensing (CS) can overcome this defect. However, when applied to large arrays, CS methods require vast computational complexity and may not obtain optimal sparse results because of violating the restricted isometry property. To make CS methods more practical, a distributed convex optimization CS method is proposed here for the sparse planar array synthesis in 3-D imaging sonar systems. This method is based on the CS theory, solving the minimum number of active elements under certain beam pattern constraints using the iterative reweighted l1-norm minimization algorithm. Then, a multistage distributed framework is proposed to decompose the array into multistage subarrays, and the array synthesis is performed sequentially for each stage subarray to reduce computational complexity and obtain higher sparsity rates. Some applications of sparse planar array synthesis are employed to evaluate the efficiency of the proposed method. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Journal of Oceanic Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/JOE.2019.2914983 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1022 Subjects: – SubjectFull: Three-dimensional imaging Type: general – SubjectFull: Sonar imaging Type: general – SubjectFull: Imaging systems Type: general – SubjectFull: Restricted isometry property Type: general – SubjectFull: Transmission line matrix methods Type: general Titles: – TitleFull: Distributed Convex Optimization Compressed Sensing Method for Sparse Planar Array Synthesis in 3-D Imaging Sonar Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gu, Boxuan – PersonEntity: Name: NameFull: Chen, Yaowu – PersonEntity: Name: NameFull: Liu, Xuesong – PersonEntity: Name: NameFull: Zhou, Fan – PersonEntity: Name: NameFull: Jiang, Rongxin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 03649059 Numbering: – Type: volume Value: 45 – Type: issue Value: 3 Titles: – TitleFull: IEEE Journal of Oceanic Engineering Type: main |
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