A Three-Dimensional Target Depth-Resolution Method with a Single-Vector Sensor

This paper mainly studies and verifies the target number category-resolution method in multi-target cases and the target depth-resolution method of aerial targets. Firstly, target depth resolution is performed by using the sign distribution of the reactive component of the vertical complex acoustic intensity; the target category and the number resolution in multi-target cases is realized with a combination of the bearing-time recording information; and the corresponding simulation verification is carried out. The algorithm proposed in this paper can distinguish between the single-target multi-line spectrum case and the multi-target multi-line spectrum case. This paper presents an improved azimuth-estimation method for multi-target cases, which makes the estimation results more accurate. Using the Monte Carlo simulation, the feasibility of the proposed target number and category-resolution algorithm in multi-target cases is verified. In addition, by studying the field characteristics of the aerial and surface targets, the simulation results verify that there is only amplitude difference between the aerial target field and the surface target field under the same environmental parameters, and an aerial target can be treated as a special case of a surface target; the aerial target category resolution can then be realized based on the sign distribution of the reactive component of the vertical acoustic intensity so as to realize three-dimensional target depth resolution. By processing data from a sea experiment, the feasibility of the proposed aerial target three-dimensional depth-resolution algorithm is verified.

[1]  Arthur B. Baggeroer,et al.  Estimation of the Distribution of the Interference Invariant with Seismic Streamers , 2002 .

[2]  Bin Zhou,et al.  Research on source depth classification using multiple vector hydrophones , 2014, OCEANS 2014 - TAIPEI.

[3]  Hailiang Tao,et al.  Waveguide invariant focusing for broadband beamforming in an oceanic waveguide. , 2008, The Journal of the Acoustical Society of America.

[4]  Robert C. Spindel,et al.  Modeling the Waveguide Invariant as a Distribution , 2002 .

[5]  W. Kuperman,et al.  Fundamentals of Ocean Acoustics , 2011 .

[6]  Lin Ma,et al.  An Improved Aerial Target Localization Method with a Single Vector Sensor , 2017, Sensors.

[7]  Arthur B. Baggeroer,et al.  An overview of matched field methods in ocean acoustics , 1993 .

[8]  Yun Yu,et al.  Pressure and velocity cross-spectrum of normal modes in low-frequency acoustic vector field of shallow water and its application , 2015 .

[9]  Hong Lian Two-dimensional combined vector hydrophone of the resonant-column type , 2005 .

[10]  V. Premus,et al.  Modal scintillation index: A physics-based statistic for acoustic source depth discrimination , 1999 .

[11]  Anbang Zhao,et al.  The application of empirical mode decomposition in target-starting sound detection , 2008, 2008 IEEE Vehicle Power and Propulsion Conference.

[12]  Jingwei Yin,et al.  Depth classification of underwater targets based on complex acoustic intensity of normal modes , 2016, Journal of Ocean University of China.

[13]  David R. Dowling,et al.  High frequency source localization in a shallow ocean sound channel using frequency difference matched field processing. , 2015, The Journal of the Acoustical Society of America.

[14]  H C Song,et al.  Adaptive frequency-difference matched field processing for high frequency source localization in a noisy shallow ocean. , 2017, The Journal of the Acoustical Society of America.

[15]  Renhe Zhang,et al.  Broad-band matched-field source localization in the east China Sea , 2004, IEEE Journal of Oceanic Engineering.

[16]  Melvin J. Hinich,et al.  Maximum likelihood estimation of the position of a radiating source in a waveguide , 1979 .

[17]  Zhao Anbang,et al.  Normal mode acoustic intensity flux in Pekeris waveguide and its cross spectra signal processing , 2009 .

[18]  Evan K. Westwood Broadband matched‐field source localization , 1992 .

[19]  Jeffrey L. Krolik,et al.  A waveguide invariant adaptive matched filter for active sonar target depth classification. , 2011, The Journal of the Acoustical Society of America.

[20]  J. Ward,et al.  Mode filtering approaches to acoustic source depth discrimination , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[21]  Louis L. Scharf,et al.  Matched subspace detectors , 1994, IEEE Trans. Signal Process..

[22]  M. Brown,et al.  Rays, modes, wavefield structure, and wavefield stability , 2003, nlin/0312049.

[23]  E. Shang Source depth estimation in waveguides , 1984 .

[24]  H. Bucker Sound Propagation in a Channel with Lossy Boundaries , 1970 .

[25]  Zoi-Heleni Michalopoulou,et al.  The effect of source amplitude and phase in matched field source localization , 2006 .

[26]  Dennis B. Creamer Scintillating shallow‐water waveguides , 1996 .

[27]  T. C. Yang A method of range and depth estimation by modal decomposition , 1987 .

[28]  Kunde Yang,et al.  Matched-field localization using a virtual time-reversal processing method in shallow water , 2011 .

[29]  Data-based depth estimation of an incoming autonomous underwater vehicle. , 2016, The Journal of the Acoustical Society of America.

[30]  Energy Flow in Interference Fields , 2002 .

[31]  Lin Ma,et al.  An Improved Azimuth Angle Estimation Method with a Single Acoustic Vector Sensor Based on an Active Sonar Detection System , 2017, Sensors.

[32]  Stephen K. Mitchell,et al.  Determination of source depth from the spectra of small explosions observed at long ranges , 1976 .

[33]  V.E. Premus,et al.  A Matched Subspace Approach to Depth Discrimination in a Shallow Water Waveguide , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[34]  D. Thomson,et al.  Modeling air‐to‐water sound transmission using standard numerical codes of underwater acoustics , 1990 .

[35]  Peter H Dahl,et al.  Properties of the acoustic intensity vector field in a shallow water waveguide. , 2012, The Journal of the Acoustical Society of America.

[36]  W. Kuperman,et al.  Matched field processing: source localization in correlated noise as an optimum parameter estimation problem , 1988 .

[37]  Peter D. Ward,et al.  The normal‐mode theory of air‐to‐water sound transmission in the ocean , 1990 .

[38]  H. Bucker Use of calculated sound fields and matched‐field detection to locate sound sources in shallow water , 1976 .