DOA Estimation for Long-distance Underwater Acoustic Sources based on Signal Self-nulling

摘要：

　　The direction-of-arrival(DOA)estimation for the long-distance underwater acoustic sources usually suffers from low levels of signal-to-noise ratio(SNR)and insufficient snapshot data.Therefore,a novel signal self-nulling based DOA estimation algorithm is proposed.First,assume that the angular sector,where the desired signal is located,is known.Then,the beampattern of the minimum variance distortionless response beamformer in this angular sector is circularly mapped onto a unit circle.Finally,the pseudo spatial spectrum is constructed by integrating the circular mapping beampattern over the whole circle.Computer simulations show that the proposed DOA estimation algorithm can produce a sharper spectrum peak around the true DOA and therefore,achieve better DOA estimation precision with low levels of SNRs and small snapshot numbers.The underwater experiment also demonstrates the superiority of the proposed DOA estimation algorithm over other existing methods for the long-distance underwater acoustic sources.

关键词： DOA estimation signal self-nulling underwater acoustic sources spatial spectrum beamforming

作者: Yong Chen Fang Wang Jianwei Wan Ke Xu

作者单位: College of Electronic Science and Engineering,National University of Defense Technology,Changsha,Hun College of Physics and Communication Electronics,Jiangxi Normal University,Nanchang,Jiangxi,P.R.Chin College of Electronic Science and Engineering,National University of Defense Technology,Changsha,Hun

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 563-567

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）