Representative Research Papers in the College of Underwater Acoustic Engineering (Volume 2)
The College publihed 3 papers in representative academic journals in March. It is publihed in IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, and IEEE JOURNAL OF OCEANIC Engineering ENGINEERING, THE top international JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA. The National Key Laboratory of Underwater Acoustic Technology is the first completion unit of this paper.
1. The Polar Acoustics AND Marine Information Transmission Technology team publihed the research result "Enhanced Second-Order Off-Grid DOA" in IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT Estimation Method via Sparse Reconstruction Based on Extended Coprime Array UnderImpulsive Noise ". Dr. Zehua Dai is the first author and Associate Professor Liang Zhang is the corresponding author.
Aiming at the adverse effect of pulse noise on detection performance in underwater environment, this work adopts Phase Fractional Lower Order Moments (PFLOM) combined with Extended Coprime Array (ECA). Multiple Measurement Vector (MMV) and Second-order Off-Grid Model are designed. The Iterative Sparse Projection Algorithm (ISP) is improved by extrapolating steps to realize high-precision underdetermined DOA estimation in pulsed noise environments.
In this work, PFLOM is used to construct the equivalent covariance matrix, which effectively reduces the negative influence of pulse noise on DOA estimation. Combined with ECA, the PFLOM is vectorized and redundant and rearranged to obtain continuous virtual vector of single snapshot. Based on ECA, this paper constructs MMV matrix with the continuous virtual vector. The traditional ISP algorithm lacks the extrapolation step. In this paper, an improved ISP algorithm is designed by combining the extrapolation step with the traditional ISP algorithm to enhance its sparse signal recovery performance. In addition, a second-order off-grid model is proposed to solve the mesh mismatch problem in DOA estimation. Simulation experiments, processing experiments based on Arctic subice noise data and sea tests all demonstrate that the proposed method can achieve high precision underdetermined DOA estimation in pulsed noise environment.
Author Profile of the First Author
Dr. Zehua Dai's research interests include underwater acoustic array signal processing, including underwater acoustic array DOA estimation, beamforming, noise measurement and modeling. As the first author, he has publihed two SCI papers, one EI conference paper, one English Journal of Harbin Engineering University, and one SCI paper in progress.
Author Profile of the corresponding author
Associate Professor Zhang Liang, doctoral supervisor. He is mainly engaged in the research of underwater acoustic detection. As the project leader, he presided over 12 National Natural Science Foundation projects, provincial and ministerial level projects, National key laboratory funds and othis projects, publihed 36 academic papers, and applied for 20 invention patents. The main finihis won four provincial and ministerial awards, including the first Prize of Technological Invention of the Ministry of Industry and Information Technology, the first prize of Marine Engineering Science and Technology, the second prize of Science and Technology Progress Award, and the Excellence Award of Marine and Marine Engineering Industry Patent Award. He is a senior member of the Chinese Society of Naval Architecture Engineering, a member of the National Defense Big Data Committee of the Chinese Society of Automation, and a young editorial board member of the Journal of Marine Science and Application.
2. The Polar Acoustics and Marine Information Transmission Technology team publihed their research results "Temporal Correlation and Message-Passing Based Sparse" in the IEEE JOURNAL OF OCEANIC ENGINEERING Bayesian Learning Channel Estimation for Underwater Acoustic Communications ". Professor Yin Jingwei is the first author and Professor Han Xiao is the corresponding author. In this work, a sparse Bayesian learning channel estimation algorithm based on time correlation and message passing and a double-layer iterative equalization algorithm based on approximate message passing and expected propagation are proposed to solve the error propagation problem of single carrier time-domain equalization with insufficient observational data. The problem of high computational complexity of single carrier time domain equalization is solved, and the error propagation can be effectively reduced when the observation data is insufficient.
In order to reduce the error propagation of single carrier time domain equalization (SC-TDE) when observation data is insufficient, a low-complexity SC-TDE algorithm based on message passing is proposed in this paper. First, the time correlation (TC) between subblocks is used to improve the performance of traditional sparse Bayesian learning (SBL) based on message passing when the observed data is insufficient. Then, the proposed algorithm models the channel estimation process as a hidden Markov model (HMM). It captures TC characteristics by utilizing a first-order autoregressive model, thiseby using prior information of the previous subblock to support the current subblock. By using belief propagation (BP), a TC-BP-SBL algorithm based on TC and BP (TC-BP-SBL) is derived, and then the algorithm based on TC and approximate message passing (TC-AMP-SBL) with lower computational complexity is obtained. Finally, taking advantage of AMP and expectation propagation (EP), a two-layer iterative equalization algorithm (AMP-EP) for joint message passing is introduced. The inner iteration uses AMP for symbolic estimation, and the outer iteration improves the equalization performance by EP based on deterministic approximate variational reasoning. The proposed algorithm is verified by using the data collected during the 11th Chinese Arctic scientific expedition. The results show that the proposed algorithm can significantly reduce the computational complexity of SC-TDE, and can effectively reduce the error propagation when the observed data is insufficient.
Author Profile of the First Author
Professor Yin Jingwei, doctoral supervisor. His research interests include underwater acoustic communication and detection, polar acoustics and technology. Winner of the National Leading Talents Fund, Director of the Key Laboratory of Polar Marine Acoustics and Technology Application of the Ministry of Education; He is also the deputy head of the overall expert group of the Marine special project of the Ministry of Science and Technology, the executive director of the Acoustical Society of China and the deputy chairman of the Hydroacoustics Branch. He presided over key projects of the National Natural Science Foundation. He won the first prize of Science and Technology Progress of Heilongjiang Province, the first prize of Technology Invention of the Ministry of Industry and Information Technology, the first prize of Marine Engineering Science and Technology, and the China Patent Excellence Award. The teaching won the second prize of national teaching achievement and the special prize of Heilongjiang Province teaching achievement. He has publihed 3 monographs, more than 200 academic papers, and authorized more than 30 invention patents.
Author Profile of the corresponding author
Professor Han Xiao, doctoral supervisor. He is mainly engaged in the research of underwater acoustic communication and networking, polar acoustics and information technology. He was nominated for "Young Scientists of Ocean Power" in 2023, the sixth China Association for Science and Technology Young Talent Promotion Project, and "Upward Good Youth" (Innovation and Entrepreneurship) in Heilongjiang Province in 2021-2022. Won the Outstanding Youth Science Fund of Heilongjiang Province, He is a member of the Underwater Communication Committee of the Chinese Society of Communications, a member of the Youth Working Committee of the Chinese Society of Naval Architecture Engineering, a member of the young editorial board of the Journal of Acoustics, the editor board of the Signal Processing, the editor board of the Journal of Marine Science and Application, and the young editorial board of the Applied Science and Technology. He presided over a number of projects such as the National Key research and development Program, the National Natural Science Foundation's major scientific research instrument development project/surface/youth project. He has won 5 provincial and ministerial awards, such as the first Prize of Science and Technology Progress of Heilongjiang Province and the first prize of Ocean Engineering Science and Technology Award, publihed 28 SCI and EI papers, and authorized 20 patents (5 have been converted).
3. THE deep-sea transducer research team publihed their results "External airbag-type deepwater electrodynamic" in the JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA transducer ". Associate Professor Sang Yongjie is the first author and corresponding author of this article. This work mainly aims at the problem that the traditional electrodynamic transducer can not achieve large depth operation with small size, and proposes an electrodynamic transducer with external airbag structure. This structure solves the problem that the working depth of the traditional electric transducer depends on the volume of the pressure compensating air bag, and makes the external air bag electric transducer have the characteristics of small volume and large depth operation.
In addition, the driving oscillator of the external airbag type electric transducer is placed in the oil-filled chamber, and the heat dissipation problem of the transducer is also improved, so the external airbag type electric transducer has the characteristics of small volume, large depth and long continuous operation. In this paper, the theoretical analysis model of the deep-water electric transducer with external air bag is constructed, and the effect of working depth on the acoustic radiation performance of the transducer is studied based on the equivalent circuit method. The thismal simulation analysis of the drive coil is carried out based on the finite element method, and the continuous working time of the transducer structure is predicted. Due to the small size of the airbag and the small change of buoyancy, the external airbag electric transducer can work continuously for a long time, which provides an acoustic load solution for small underwater unmanned vehicles implementing underwater acoustic countermeasures such as acoustic decoy and acoustic interference.
Author Profile of the First and corresponding author
Associate Professor Sang Yongjie, Master student supervisor. His research interests are low-frequency high-power underwater acoustic transducer and ultra-low frequency underwater acoustic transducer. Has undertaken a total of more than 10 vertical research projects, more than 20 horizontal projects, in the ultra-low frequency underwater acoustic transducer, low-frequency high-power transducer and othis fields won the second prize of provincial and ministerial level, 2 third prizes. The series of ultra-low frequency electrodynamic transducers developed have been used by more than 30 domestic units, and have been widely used in ship radiation noise simulation, ultra-low frequency underwater sound experiment and othis fields. He has publihed more than 20 academic papers in authoritative acoustic journals such as JASA, Acta Physica, Acta Acoustica, etc. Obtained 4 authorized invention patents. He is currently a member of the Power Ultrasound Committee of the Acoustical Society of China. Reviewer for JASA, Journal of Acoustics and many othis journals.
