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高阶声场传感器阵列超分辨方位估计方法研究

  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

To improve the direction of arrival (DOA) estimation performance of sensor arrays under the condition of a limited scale, this study proposes high-order acoustic sensors (HOASs) to comprise novel arrays. Based on phase mode theory, HOASs can extract high-order acoustic information from the signals received by scalar sensors uniformly distributed on a circular aperture inside. A multidimensional signal structure similar to that of acoustic vector sensors is thus obtained via a simple and convenient physical structure. On the basis of such structure, the signal model of a high-order acoustic sensor array (HOASA) is constructed, and the MUSIC algorithm is adopted for the simulation analysis of the performance of super-resolution DOA estimation. Results indicate that the HOASA achieves better source resolution and DOA estimation than vector sensor arrays under the same conditions.

投稿的翻译标题Super-resolution DOA estimation method for high-order acoustic sensor arrays
源语言繁体中文
页(从-至)1452-1457
页数6
期刊Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
42
10
DOI
出版状态已出版 - 5 10月 2021

关键词

  • Detection accuracy
  • Direction of arrival estimation
  • High-order acoustic sensor
  • Long vector
  • MUSIC algorithm
  • Phase mode theory
  • Root mean square error
  • Vector sensor

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