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个人信息Personal Information
教授 硕士生导师
招生学科专业：
信息与通信工程 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
信息与通信工程(集成电路设计) -- 【招收硕士研究生】 -- 电子信息工程学院
电子信息 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
毕业院校：南京航空航天大学
学历：南京航空航天大学
学位：工学博士学位
所在单位：电子信息工程学院
办公地点：电子信息工程学院办公楼324房间
联系方式：nuaaxwj@nuaa.edu.cn
电子邮箱：
Thinned Array Design With Minimum Number of Transducers for Multibeam Imaging Sonar
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所属单位：电子信息工程学院
发表刊物：IEEE JOURNAL OF OCEANIC ENGINEERING
关键字：Convex optimization multibeam imaging sonar peak sidelobe level thinned array wind-driven optimization (WDO)
摘要：A large number of transducers employed in the multibeam imaging sonar array significantly increases the hardware complexity, costs, and computational load. Although a great amount of work has been done to minimize the number of transducers in the array, one can verify that these methods do not provide optimal results when applied to the case of multiple beams. In this paper, a novel thinning method is proposed for multiple-beam conditions where the number of transducers is minimized by an iterative process. Optimal common transducers' positions are selected by a wind-driven optimization (WDO) algorithm, and transducers' weights are optimized by convex optimization in order to suppress the peak sidelobe level (PSLL). The performance of the proposed method is evaluated via simulations and experiments. Results show that the method is applicable to the minimization of the number of transducers under hundreds of beam conditions, and consequently reduces the complexity of the imaging sonar system with imaging performance still acceptable.
ISSN号：0364-9059
是否译文：否
发表时间：2017-10-01
合写作者：Jin,Xue,Dou, Fawang