MapReduce框架下的水声阵列信号处理研究
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摘要
水声阵列信号处理中的自适应波束形成技术可根据环境情况自动调节参数实现最佳处理,具有波束校正、超低副瓣、自适应干扰抑制等优点,但具有较好收敛性能的自适应算法可能由于结构复杂、运算量大,不适于实时滤波处理。根据目前信息系统广泛采用并行处理和分布式计算的设计思路,通过分析MapReduce并行处理软件框架体系结构、处理流程和水下阵列信号处理特点,研究提出了一种基于MapReduce并行处理框架的自适应波束形成信号处理算法,设计了具体针对基于自适应Notch滤波器的矢量阵列信号处理的Map和Reduce两种函数的集合操作,并说明了软件任务的具体执行流程。该方法为实现声呐系统集成中的多计算机、多线程并行计算,多任务动态部署等关键技术提供了借鉴。
Adaptive beam-forming technology in underwater acoustic array signal processing can automatically adiust the parameters according to the environmental situation to achieve the best processing,which has the advantages of beam correction,low sidelobe and adaptive interference suppression,but adaptive algorithms which have good convergence performance may be not suited to real time filtering processing due to complex structures and large calculation.An adaptive beam-forming signal processing algorithm based on parallel processing framework of MapReduce is studied and put forward in this paper.Comprehensive operation of functions of Map and Reduce specific to vector array signal processing based on adaptive Notch filter is designed,and software task's implementation process is described as well.The method provides reference for key technologies of multi-computer and multi-thread parallel computing,multitasking dynamic deployment and so on in sonar syetem integration.
Adaptive beam-forming technology in underwater acoustic array signal processing can automatically adiust the parameters according to the environmental situation to achieve the best processing,which has the advantages of beam correction,low sidelobe and adaptive interference suppression,but adaptive algorithms which have good convergence performance may be not suited to real time filtering processing due to complex structures and large calculation.An adaptive beam-forming signal processing algorithm based on parallel processing framework of MapReduce is studied and put forward in this paper.Comprehensive operation of functions of Map and Reduce specific to vector array signal processing based on adaptive Notch filter is designed,and software task's implementation process is described as well.The method provides reference for key technologies of multi-computer and multi-thread parallel computing,multitasking dynamic deployment and so on in sonar syetem integration.
引文
[1]杨辉华,杜玲玲,李灵巧等.并行MapReduce PLS算法及其在光谱分析中的应用[J].光谱学与光谱分析,2012,32(9):2399-2404.YANG Huihua,DU Lingling,LI Lingqiao,et al.Parallel MapReduce PLS Algorithm and Its Applications in Spectral Analysis[J].Spectroscopy and Spectral Analysis,2012,32(9):2399-2404.
[2]杨松涛.矢量阵宽带恒定束宽波束形成方法研究[D].哈尔滨:哈尔滨工程大学,2012,p19.YANG Songtao.Research on Vector Array Broadband Constant Beamwidth Beamforming Method[D].Harbin:Harbin Engineering University,2012,p19.
[3]张贤达.现代信号处理[M].北京:清华大学出版社,2002.ZHANG Xianda.Processing of modern signal[M].Beijing:Tsinghua University Press,2002.
[4]席晓芸.自适应Notch滤波器在阵列信号处理中的应用[J].声学技术,2009,28(5):645-650.XI Xiaoyun.Application of Adaptive Notch Filter in Signal’s Processing of Array[J].Technical Acoustics,2009,28(5):645-650.
[5]卫洁.MapReduce框架下的贝叶斯文本分类学习研究[D].太原:山西财经大学,2012,15-16.WEI Jie.Research on Bayesian Text Classification Learning under MapReduce Framework[D].Taiyuan:Shanxi University of Finance and Economics,2012,15-16.
[6]熊家军,李强,等.云计算及其军事应用[M].北京:科学出版社,2011.XIONG Jiajun,LI qiang,et al.Cloud computing and its military application[M].Beijing:Science Press,2011.
[7]李建江,崔健,等.MapReduce并行编程模型研究综述[J].电子学报,2011,39(11):2635-2640.LI Jianjiang,CUI Jian,et al.Survey of MapReduce Parallel Programming Model[J].Acta Electronica Sinica,2011,39(11):2635-2640.
[8]Gang Li.A Stable and Efficient Adaptive Notch Filter for Direct Frequency Estimation[J].IEEE Trans.on Signal Processing,1997,45(8):2001-2009.
[9]J Dean,S Ghemawat.MapReduce:Simplified data processing on large clusters[J].Communications of the ACM,2008,51(1):107-113.
[10]M C Herbordt,T V Court,et al.Achieving high performance with FPGA-based computing[J].Computer,2007,40(3):50-57.
[2]杨松涛.矢量阵宽带恒定束宽波束形成方法研究[D].哈尔滨:哈尔滨工程大学,2012,p19.YANG Songtao.Research on Vector Array Broadband Constant Beamwidth Beamforming Method[D].Harbin:Harbin Engineering University,2012,p19.
[3]张贤达.现代信号处理[M].北京:清华大学出版社,2002.ZHANG Xianda.Processing of modern signal[M].Beijing:Tsinghua University Press,2002.
[4]席晓芸.自适应Notch滤波器在阵列信号处理中的应用[J].声学技术,2009,28(5):645-650.XI Xiaoyun.Application of Adaptive Notch Filter in Signal’s Processing of Array[J].Technical Acoustics,2009,28(5):645-650.
[5]卫洁.MapReduce框架下的贝叶斯文本分类学习研究[D].太原:山西财经大学,2012,15-16.WEI Jie.Research on Bayesian Text Classification Learning under MapReduce Framework[D].Taiyuan:Shanxi University of Finance and Economics,2012,15-16.
[6]熊家军,李强,等.云计算及其军事应用[M].北京:科学出版社,2011.XIONG Jiajun,LI qiang,et al.Cloud computing and its military application[M].Beijing:Science Press,2011.
[7]李建江,崔健,等.MapReduce并行编程模型研究综述[J].电子学报,2011,39(11):2635-2640.LI Jianjiang,CUI Jian,et al.Survey of MapReduce Parallel Programming Model[J].Acta Electronica Sinica,2011,39(11):2635-2640.
[8]Gang Li.A Stable and Efficient Adaptive Notch Filter for Direct Frequency Estimation[J].IEEE Trans.on Signal Processing,1997,45(8):2001-2009.
[9]J Dean,S Ghemawat.MapReduce:Simplified data processing on large clusters[J].Communications of the ACM,2008,51(1):107-113.
[10]M C Herbordt,T V Court,et al.Achieving high performance with FPGA-based computing[J].Computer,2007,40(3):50-57.