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基于高阶ESPRIT的单声矢量水听器近场声源定位 预览

Near Field Acoustic Source Localization Using Single Acoustic Vector-sensor Based on Higher Order ESPRIT
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摘要 为避免传统近场定位算法需要三维搜索,计算量大的问题,该文结合高阶累积量提出一种适用于单矢量水听器近场声源定位的旋转不变子空间(ESPRIT)算法。首先通过定义一系列的四阶累积量矩阵,获得了3个不变性矩阵,然后从这些不变矩阵中提取近场源的位置信息,该方法可以得到目标的方位角、俯仰角和距离的封闭形式的解。最后通过仿真验证了本算法的有效性。 In order to solve the problem that the conventional near-field location algorithm needs three-dimensional search and large amount of computation,an ESPRIT algorithm based on the higher-order cumulant for single vector hydrophone near field source localization is proposed in this paper.By defining a series of four-order cumulant matrices,the multiple invariance matrices are obtained,and then the localization information of the near-field sources can be extracted from these invariance matrices.The closed-form solution of the azimuth,elevation and distance of the target can be obtained by using the proposed method.Finally,the effectiveness of the proposed algorithm is verified by the simulation.
作者 肖大为 程锦房 姬庆 喻鹏 XIAODawei, CHENGJinang, J IQ in g,YUPeng(Dept. of Weaponry Engineering,Naval University of Engineering,Wuhan 430033, China)
出处 《压电与声光》 CSCD 北大核心 2018年第1期11-14,共4页 Piezoelectrics & Acoustooptics
基金 国家部委基金资助项目(4010709010201)
作者简介 肖大为(1982-),男,湖北武汉人,讲师,博士,主要从事水下目标探测与识别的研究.
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