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基于Khatri-Rao積的三維前視聲吶空間方位估計技術

周天,  沈嘉俊,  杜偉東,  周曹韻,  宋金陽,  陳寶偉,  李海森

周天, 沈嘉俊, 杜偉東, 周曹韻, 宋金陽, 陳寶偉, 李海森. 基于Khatri-Rao積的三維前視聲吶空間方位估計技術[J]. 電子與信息學報, 2021, 43(3): 857-864. doi: 10.11999/JEIT200657
引用本文: 周天, 沈嘉俊, 杜偉東, 周曹韻, 宋金陽, 陳寶偉, 李海森. 基于Khatri-Rao積的三維前視聲吶空間方位估計技術[J]. 電子與信息學報, 2021, 43(3): 857-864. doi: 10.11999/JEIT200657
Tian ZHOU, Jiajun SHEN, Weidong DU, Caoyun ZHOU, Jinyang SONG, Baowei CHEN, Haisen LI. DOA Estimation Technology Based on Khatri-Rao Product for 3D Forward-looking Sonar[J]. Journal of Electronics & Information Technology, 2021, 43(3): 857-864. doi: 10.11999/JEIT200657
Citation: Tian ZHOU, Jiajun SHEN, Weidong DU, Caoyun ZHOU, Jinyang SONG, Baowei CHEN, Haisen LI. DOA Estimation Technology Based on Khatri-Rao Product for 3D Forward-looking Sonar[J]. Journal of Electronics & Information Technology, 2021, 43(3): 857-864. doi: 10.11999/JEIT200657

基于Khatri-Rao積的三維前視聲吶空間方位估計技術

doi: 10.11999/JEIT200657
  • 1.

    哈爾濱工程大學水聲技術重點實驗室 哈爾濱 150001

  • 2.

    哈爾濱工程大學海洋信息獲取與安全工信部重點實驗室 哈爾濱 150001

  • 3.

    哈爾濱工程大學水聲工程學院 哈爾濱 150001

  • 4.

    中國電子科技集團第三十六研究所 嘉興 314000

基金項目: 后勤科研重點項目(BY119C008)，國家自然科學基金(U1709203, 41976176, U1906218)，中央高?；緲I(yè)務費(3072020CFT0501)，黑龍江省博士后科研發(fā)展基金(LBH-Q18042)，黑龍江省自然科學基金(ZD2020D001)
詳細信息
    作者簡介:

    周天：男，1980年生，教授，研究方向為水聲信號處理、水聲目標探測

    沈嘉?。耗?，1993年生，博士生，研究方向為水聲陣列信號處理

    杜偉東：男，1984年生，講師，研究方向為水聲信號處理

    通訊作者:

    杜偉東　duweidong@hrbeu.edu.cn

  • 中圖分類號: TB566

DOA Estimation Technology Based on Khatri-Rao Product for 3D Forward-looking Sonar

  • 1.

    Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China

  • 2.

    Key Laboratory of Marine Information Acquisition and Security, Harbin Engineering University, Harbin 150001, China

  • 3.

    College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China

  • 4.

    No. 36 Research Institute of CETC, Jiaxing 314000, China

Funds: The Logistics Study Program(BY119C008), The National Natural Science Foundation of China (U1709203, 41976176, U1906218), The Fundamental Research Funds for the Central Universities(3072020CFT0501), The Postdoctoral Scientific Research Developmental Fund of Heilongjiang(LBH-Q18042), The Natural Science Foundation of Heilongjiang Province(ZD2020D001)
  • 摘要: 為了提高3維前視聲吶的方位分辨能力，同時避免2維(2D)方位估計(DOA)方法失效，該文提出1維(1D)空間角估計方法、基于Vernier法的垂直角估計方法和基于最小角定理的水平角方位估計方法。首先基于不同子陣構造互協(xié)方差矩陣避免2維方位估計模型失效，再利用Khatri-Rao積進行虛擬孔徑擴展；將擴展后的陣列導向矢量和觀測向量模型用于2維方位估計。與原陣列的導向矢量相比，虛擬陣元數(shù)量約增加1倍，陣列的孔徑得到有效擴展。仿真實驗表明，與單觀測向量波束形成2維方位估計方法相比，所提方法在2維方位估計問題中具有更高的分辨能力，均方根誤差更低；水池實驗進一步驗證了該文所提方法的工程實用性。
    Abstract: In order to obtain higher resolution and avoid the failure of Two-Dimensional (2D) of Direction-Of-Arrival (DOA) estimation, One-Dimensional (1D) spatial DOA estimation method, vertical DOA estimation via Vernier method and horizontal DOA estimation method via minimum angle theorem are proposed. First, covariance matrices are constructed based on various subarrays to alleviate the failure of 2D model, and the Khatri-Rao product is adopted to extend the virtual array aperture. Second, the extended observation models and corresponding array steer vector are exploited for 2D DOA estimation. Compared with the steer vector of the original array, the number of virtual array elements is doubled, and thus the array aperture is extended. Simulation results show that the proposed method has better resolution and lower RMSE performance in 2D DOA estimation problem compared with the Single Measured Vector Beamforming method. The tank experiment further verifies the engineering practicability of the proposed method.
    • HTML全文

  • 圖  1  2維稀疏接收陣列

    圖  2  3維笛卡爾坐標系下的目標方位表述

    圖  3  導向波束的3維波束圖案

    圖  4  目標1(水平角90°垂直角–7°)仿真估計結果誤差棒圖

    圖  5  目標2(水平角92°垂直角–5°)仿真估計結果誤差棒圖

    圖  6  仿真實驗輸出波束圖案

    圖  7  水池實驗場景示意圖

    圖  8  波束形成輸出聲圖像

    圖  9  某一快拍下的波束圖案輸出

    圖  10  2維方位估計結果

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  • 收稿日期:  2019-08-29
  • 修回日期:  2020-12-18
  • 網(wǎng)絡出版日期:  2021-02-22
  • 刊出日期:  2021-03-22

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