个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:信息与通信工程学院
学科:信号与信息处理
联系方式:84706002-3326; 84706697
电子邮箱:qhlin@dlut.edu.cn
Performance Analysis for Focused Beamformers in Passive Underwater Acoustic Localization
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论文类型:期刊论文
发表时间:2018-01-01
发表刊物:IEEE ACCESS
收录刊物:SCIE、EI
卷号:6
页面范围:18200-18208
ISSN号:2169-3536
关键字:Focused beamformer; performance analysis; sensor arrays; underwater acoustics
摘要:Focused beamformers are widely used in passive underwater acoustic localization. Many pseudo-peaks (spurious peaks not corresponding to a real source) are produced by focused beamformers, impacting the performance and reliability of related algorithms. After describing both the received signal model of near-field sources with a uniform line array, and the basic principle of passive localization based on focused beamformers, we define pseudo-peaks in the focused beamformer's spectra and give the procedure to quantify these pseudo-peaks. The performance of conventional focused beamformers (C-FBs) and minimum variance distortionless response focused beamformers (MVDR-FBs) are studied, focusing on the number of pseudo-peaks in passive underwater acoustic localization. After establishing a simulation model based on an underwater acoustic environment, the algorithms are compared in terms of signal-to-noise ratio, frequency, distance of the source signal, and detection threshold. In all cases, the MVDR-FB method shows superior performance to the C-FB method in minimizing the number of pseudo-peaks. Finally, a method of selecting the detection threshold based on the convergence of pseudo-peak number is proposed.