文章摘要
周胜增,刘东涛,杜选民.超波束处理在被动声纳频谱分析中的应用[J].声学技术,2011,(5):460~462
超波束处理在被动声纳频谱分析中的应用
Application of hyper-beamforming in spectrum analysis of passive sonar
投稿时间:2009-10-30  修订日期:2010-01-10
DOI:
中文关键词: 被动声纳  低频分析与历程显示  超波束
英文关键词: passive sonar  Low Frequency Analysis and Recording(LOFAR)  hyper-beamforming
基金项目:
作者单位E-mail
周胜增  liuzhexian@yeah.net 
刘东涛   
杜选民   
摘要点击次数: 1090
全文下载次数: 1051
中文摘要:
      超波束技术(HBF)作为一种新的高分辨力波束形成方法,在阵列尺寸一定的条件下,能够同时降低主波束宽度和旁瓣,从而提高目标检测能力和定位精度。但超波束输出丢失了信号相位信息,无法进行侦听和频谱分析等后置处理。对常规HBF进行了改进,利用HBF输出对常规的波束形成(CBF)进行加权,在保证高分辨力和低旁瓣的同时,又保留了波束输出的相位信息。仿真结果表明,该算法可以在被动声纳低频分析与历程显示(LOFAR)中得到应用,给声纳目标检测和识别提供主要依据。
英文摘要:
      Hyper-beamforming(HBF) can meantime reduce the mainlobe width and sidelobe levels when the size of array is defined,so the detection ability and parameter estimation precision of targets can be improved.However,the post processing of interception and spectrum analysis can not be done for HBF because of losing the phase information of output.In this paper,the conventional hyper-beam technique is improved by weighting conventional beamforming(CBF) with the hyper-beam output.The phase of beam output is maintained with high-resolution and low sidelobe.Simulation results show that the improved method can be applied in LOFAR image of passive sonar,which can supply an important foundation for the detection and classification of sonar targets.
查看全文   查看/发表评论  下载PDF阅读器
关闭