Research on DOA Estimation Based on Acoustic Energy Flux Detection Using a Single MEMS Vector Hydrophone

被引：7
|
作者：
Zhang, Xiaoyong [1 ,2 ]
Zhang, Guojun [1 ]
Shang, Zhenzhen [1 ]
Zhu, Shan [1 ]
Chen, Peng [1 ]
Wang, Renxin [1 ]
Zhang, Wendong [1 ]
机构：
[1] North Univ China, State Key Lab Dynam Testing Technol, Taiyuan 030051, Peoples R China
[2] Taiyuan Univ, Dept Intelligence & Automat, Taiyuan 030032, Peoples R China
来源：
MICROMACHINES | 2021年 / 12卷 / 02期
基金：
中国国家自然科学基金;
关键词：
MEMS; vector hydrophone; acoustic energy flux; DOA; maximum likelihood estimation;
D O I：
10.3390/mi12020168
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The principle of acoustic energy flux detection method using a single micro electromechanical system (MEMS) vector hydrophone is analyzed in this paper. The probability distribution of acoustic energy flux and the weighted histogram algorithm are discussed. Then, an improved algorithm is proposed. Based on the algorithm, the distribution range of the energy is obtained by a sliding window, the energy center of gravity in the range is considered as the result of direction of arrival (DOA) estimation, and it is proved to be the maximum likelihood estimation of the target direction. The simulation results show that, with the signal to noise ratio (SNR) from -10 dB to 10 dB, the root mean square error (RMSE) of the improved algorithm is reduced by 47.8% on average, and is more accurate in the presence of interference. The experimental results of lake test are consistent with the theory analysis and simulation results.
引用
收藏
页数：18
相关论文
共 50 条
  • [31] Single vector hydrophone target detection based on eigenvalue
    Ma B.
    Zhu S.
    Sun G.
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2019, 41 (01): : 95 - 100
  • [32] Direction of Arrival (DOA) Estimation using Vector Acoustic Data
    Sanders, Madison
    Rock, Michael
    Sawyer, Arianna
    Potty, Gopu R.
    OCEANS 2021: SAN DIEGO - PORTO, 2021,
  • [33] Improved DOA Estimation of Sound Source of Small Amplitudes Using a Single Acoustic Vector Sensor
    Zhu, Bing
    Zhang, Wen
    MAN-MACHINE SPEECH COMMUNICATION, NCMMSC 2024, 2025, 2312 : 212 - 223
  • [34] Research on high-resolution direction-of-arrival estimation based on an acoustic vector-hydrophone
    Liang, Guo-Long
    Zhang, Kai
    Fu, Jin
    Zhang, Yao
    Li, Li
    Binggong Xuebao/Acta Armamentarii, 2011, 32 (08): : 986 - 990
  • [35] Cross-spectrum Detector Using a Single Acoustic Vector Hydrophone
    Dai, Guanghua
    Chen, Yu
    Ma, Shading
    Meng, Zhou
    2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC), 2017,
  • [36] Measurement of the acoustic reflection coefficient of underwater acoustic materials based on a single vector hydrophone
    Shi S.
    Wang C.
    Hu B.
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2021, 42 (04): : 491 - 496
  • [37] A DOA Estimation algorithm for the vertical line array of vector hydrophone based on data fusion method
    Liang, Yan
    Meng, Zhou
    Chen, Yu
    Wang, Jianfei
    Zhou, Xin
    Wang, Mingyang
    2020 IEEE 3RD INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND SIGNAL PROCESSING (ICICSP 2020), 2020, : 108 - 112
  • [38] Improved Underwater Single-Vector Acoustic DOA Estimation via Vector Convolution Preprocessing
    Dong, Haitao
    Suo, Jian
    Zhu, Zhigang
    Li, Siyuan
    ELECTRONICS, 2024, 13 (09)
  • [39] DOA estimation of acoustic vector array based on the sparse decomposition theory
    Fu, J. (gama_captain1@yahoo.com.cn), 1600, Editorial Board of Journal of Harbin Engineering (34):
  • [40] Parallel Factor Analysis Based Joint Two-Dimensional DOA and Frequency Estimation Using a Single Acoustic Vector Sensor
    Ao, Yu
    Xu, Ke
    Wan, Jian-Wei
    JOURNAL OF NANOELECTRONICS AND OPTOELECTRONICS, 2019, 14 (04) : 521 - 531
12345