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基于状态观测器的波束形成算法及其航空应用
  • ISSN号：1000-6893
  • 期刊名称：《航空学报》
  • 时间：0
  • 分类：V211.71[航空宇航科学与技术—航空宇航推进理论与工程;航空宇航科学技术]
  • 作者机构：[1]北京大学工学院力学与空天技术系,北京100871, [2]陆军航空兵学院,北京101123
  • 相关基金：国家自然科学基金（90916003）
作者： 季建朝[1,2], 白龙[1], 黄迅[1]
关键词： 阵列信号处理, 波束形成, 航空声学, 状态观测器, 迭代算法, array processing, beamforming, aeroacoustics, state observer, recursive function
中文摘要：

随着数字信号处理技术的发展,基于声传感器阵列的经典波束形成算法广泛地应用于航空气动噪声检测领域中。但是,经典算法计算量大,并且它的算法结构决定了其无法用作实时算法。本文给出了一种基于状态观测器理论的新算法,介绍了观测器算法的理论背景、算法稳定性的证明、麦克风阵列的设计准则以及基于阵列进行的仿真结果。这种新算法在形式上类似于控制理论中的状态观测器,并且在频域对采集到的数据进行迭代运算。对理想的单点噪声源的仿真以及对消声室中起落架模型进行的试验结果验证了该算法的正确性与实用性。相比经典算法,该算法不仅具有实时处理的能力,也能迭代地消除由测试环境引起的各种误差。

英文摘要：

Aeroacoustic array is an important testing tool in noise identification for industry applications.However,due to its extensive computational requirements the typical beamforming has to be conducted off-line and is therefore not capable of real-time processing.An alternative algorithm in the form of a state observer is proposed to solve the problem.The theoretical background of this algorithm,derivation of its stability,array construction methods as well as experimental results based on the array are discussed in this study.The algorithm has a form similar to a classical state observer and the array processing is performed in the frequency domain.An ideal single-point noise source and a landing gear model tests both confirm the validity and effectiveness of this algorithm.This observer-based algorithm can be conducted recursively over each sampling,thus possessing real-time capability.It can also be quite useful in experiments by observing any potential test defects on site.

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期刊信息
  • 《航空学报》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国航空学会
  • 主编：孙晓峰
  • 地址：北京海淀区学院路37号
  • 邮编：100083
  • 邮箱：hkxb@buaa.edu.cn
  • 电话：010-82317058 82318016
  • 国际标准刊号：ISSN：1000-6893
  • 国内统一刊号：ISSN：11-1929/V
  • 邮发代号:82-148
  • 获奖情况:
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘（网络版）,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,美国应用力学评论,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:24676