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无误差阵列协方差矩阵分离的阵列自校正方法

  • Guangpu Zhang
  • , Kaixin Liu
  • , Jin Fu
  • , Jinjin Wang*
  • *此作品的通讯作者
  • Harbin Engineering University

科研成果: 期刊稿件文章同行评审

摘要

Because the array amplitude and phase errors will degrade the performance of the high-resolution direction of arrival (DOA) estimation method, an array self-calibration method based on the covariance matrix separation of the error-free array is proposed. This method applies the covariance matrix reconstruction method to obtain the covariance matrix of an approximate error-free array, which weakens the array error in the covariance matrix. Then, the eigenstructure method is used to solve the amplitude and phase errors. The above reconstruction method and eigenstructure method are iterated to separate the error-free array covariance matrix and the amplitude-phase error matrix from the covariance matrix of the uncalibrated array. Simulation results show that the proposed method can accurately estimate the array errors, and using the reconstructed covariance matrix for DOA estimation can improve the resolution and estimation accuracy. The lake experiment results show that the sound source and interference target with adjacent azimuth angles can be distinguished after calibrating the array using the proposed method.

投稿的翻译标题Array self-calibration method based on covariance matrix separation of error-free array
源语言繁体中文
页(从-至)298-307
页数10
期刊Shengxue Xuebao/Acta Acustica
49
2
DOI
出版状态已出版 - 3月 2024
已对外发布

关键词

  • Array self-calibration
  • Covariance matrix
  • Direction of arrival estimation
  • Eigenstructure

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