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2024 OES China Ocean acoustics, COA 2024

作者： Tian, Yanan Han, Xiao Yin, Jingwei Zhang, Yangfan Pu, Zhanqing Huang, Haining Institute of Acoustics Chinese Academy of Science Kay Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Beijing100190 China College of Underwater Acoustic Engineering Harbin Engineering University National Key Laboratory of Underwater Acoustic Technology Harbin150001 China Harbin Engineering University Key Laboratory for Polar Acoustics and Application of Ministry of Education Harbin150001 China

ISBN: (纸本)9798350340297

An important strategy for signal processing in impulsive noise environment is to first suppress the high amplitude mutations by a preprocessor and then use the signal processing method under Gaussian noise. This paper proposes an equalizer for joint impulsive noise extended preprocessing, which performs a nonlinear transform of received signals disturbed by impulsive noise, retaining more useful information while remaining robust. Combined with the sparse characteristics of the equalizer, the improved proportional stable fast transversal filter is then exploited to improve the convergence speed and reduce the equalization error. The results of underwater acoustic communication test in the Yellow Sea verify the superiority of the proposed method. © 2024 IEEE.

关键词： Transversal filters

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Simplified active noise control system with decorrelation reference signals

Simplified active noise control system with decorrelation re...

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2024 International Conference on Optics, Electronics, and Communication Engineering, OECE 2024

作者： Zhang, Tian Duan, Zhehua Xu, Fei Key Laboratory of Underwater Acoustic Signal Processing of the Ministry of Education School of Information Science and Engineering Southeast University Jiangsu Nanjing210096 China

ISBN: (纸本)9781510685437

Remote microphone technology (RMT) aims to address the issue of the impracticality of installing physical microphones in specific locations for reducing noise. To guarantee the noise reduction performance, the number of observation microphones in a typical RMT system is generally not less than the number of noise sources, which will lead to a high device cost and a heavy computational burden. Our goal is to design a simplified RMT system that cuts down on the quantity of reference and observation microphones required in settings with multiple noise sources. The first step involves examining the relationship of the sound field to find the best quantity of microphones. Next, the observation filter is designed using the best number of observation microphones. Furthermore, the blind separation method reconstructs reference signals while the observation filter estimates virtual signals for the RMT system. Experimental evidence confirms that the proposed RMT system can lower the number of microphones required while still achieving comparable noise reduction performance to traditional systems in scenarios with multiple noise sources. © 2024 SPIE.

关键词： Active noise control

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Communication signal analysis with fusion classification of captive bottlenose dolphins

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Chinese Journal of acoustics 2023年第2期42卷 139-152页

作者： ZHANG Xiaowei ZHANG Chunhua XUE Shanhua YIN Li Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Institute of AcousticsChinese Academy of SciencesBeijing 100190 University of Chinese Academy of Sciences Beijing 100049

For improving the classification accuracy of bottlenose dolphin communication signals(whistle)under captive conditions when overlapping echolocation signals(click),a fusion classification method based on machine learning is *** time-frequency distribution features of whistle signals are extracted to train the random forest classifier,and the Mel timefrequency diagram features are used to train the convolution neural network *** this basis,a fusion decision-maker is designed to classify and recognize the aliased whistle *** classification and recognition results of the experimental data collected from the sound signals of captive dolphins showed that the fusion classification method has better classification *** classification accuracy of the aliased whistle signals is more than 94%,which is better than the time-frequency distribution feature classifier and Mel time-frequency graph feature classifier,and can improve the classification ability of the aliased signals.

关键词： signal classifier distribution

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A range and depth estimation method using the time delay structure of bottom reflection in deep sea bottom bounce area

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Chinese Journal of acoustics 2024年第3期43卷 275-289页

作者： XIE Qichen CHI Cheng ZHANG Bo HUANG Haining Institute of Acoustics Chinese Academy of SciencesBeijing100190 Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Chinese Academy of SciencesBeijing100190 University of Chinese Academy of Sciences Beijing100049

When the source-receiver depth relationship is unknown,using the time delay differences for distance and depth estimation may result in a pseudo *** address the issue,a method for directly estimating distance and depth using four time delay differences has been *** method analyzes the relationship of four time delay differences between multipath,by utilizing the difference in the same time delay difference between the pseudo source and the true position,a fuzzy plane is constructed for *** pseudo source can be eliminated without determining the source-receiver depth relationship,which can be achieved on a single *** effectiveness of the method is verified through simulation experiments and error *** sea experiment shows that the method successfully achieves distance and depth estimation of targets ranging from 11.0 km to 16.5 km on two single hydrophones at different depths,with root mean square errors of less than 1.1 km and 54 m,respectively.

关键词： delay estimation method

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underwater acoustic target recognition using line enhancement and deep neural network

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Chinese Journal of acoustics 2024年第4期43卷 452-467页

作者： YU Xueyang CHI Cheng LI Shuqiu LI Derui Institute of Acoustics Chinese Academy of SciencesBeijing 100190 University of Chinese Academy of Sciences Beijing 100049 Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Chinese Academy of SciencesBeijing 100190

To enhance the features of underwater acoustic target signals,and improve the performance of underwater acoustic target recognition based on deep neural network,a target recognition method using line enhancement and deep neural network is *** method focuses on the narrowband information enhancement and sets an adaptive line enhancement filter at the front end of the VGGish *** signals are processed by the line enhancement filter and input into the network to extract deep features,and then these features are classified by a *** effectiveness of the method is verified by the actual underwater acoustic *** component analysis is performed on the deep feature set of the underwater acoustic signals,and the results show that the compactness of the deep feature set obtained after line enhancement is significantly *** proposed method can obtain a recognition accuracy of 94.83%on the test dataset,which is improved by 5.48%compared to the case without line enhancement,and it is also more robust under the condition of low signal-to-noise ratio.

关键词： underwater method verified

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Unitary Approximate Message Passing-Based Channel Estimation for OFDM underwater acoustic Communications

Unitary Approximate Message Passing-Based Channel Estimation...

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2024 OES China Ocean acoustics, COA 2024

作者： Zhao, Zhezhen Tao, Jun Chen, Wenxuan School of Information Science and Engineering Southeast University Key Laboratory of Underwater Acoustic Signal Processing of the Ministry of Education Nanjing210096 China Pengcheng Laboratory Shenzhen518000 China

ISBN: (纸本)9798350340297

The approximate message passing (AMP) technique for channel estimation (CE) in underwater acoustic (UWA) communications has recently attracted considerable attention. As a member of the AMP family, the unitary AMP (UAMP) algorithm achieves robust performance by performing singular value decomposition on the measurement matrix before message passing is performed. Herein, we investigate the feasibility of UAMP-based CE for orthogonal frequency division multiplexing (OFDM) UWA communications. The experimental results showed that the UAMP-based CE scheme outperformed existing CE methods enabled by least squares or compressive sensing algorithms. © 2024 IEEE.

关键词： Singular value decomposition

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Validity of matched-field source localization in under-ice shallow water

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Intelligent Marine technology and Systems 2024年第1期2卷 1-8页

作者： Liu, Chonglei Zhang, Yangfan Yin, Li Huang, Haining Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing CAS Beijing China Institute of Acoustics Chinese Academy of Science Beijing China

underwater source localization, such as matched-field processing (MFP), triangulation, and waveguide invariant, have been extensively investigated in temperate oceans. Seasonal or yearlong ice floes or ice cover exist in high-latitude sea regions and the polar ocean. In under-ice shallow water, sound interacts frequently with ice and sea bottom, which results in dramatic reflection, attenuation, and modal dispersion. The boundary effects generate more uncertainties in model-based source localization methods, for example, the MFP method. In this work, we develop the preliminary scheme of the under-ice MFP. The performances of the incoherent Bartlett and minimum variance algorithms are verified by real data collected by a 12-element Vertical line array with a space of 1 m for a source (650–750 Hz) at 2.7-km range and 5-m depth in the northern Yellow Sea in winter. The experimental findings demonstrate that the range error is within 2% and the depth error is within 10%. The error primarily originates from the uncertainty of sea bottom parameters.

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A Near-Field Interference Recognition Method Based on Split Beam 6

A Near-Field Interference Recognition Method Based on Split ...

引用

6th International Conference on Information Communication and signal processing, ICICSP 2023

作者： Zhou, Yan Yao, Shuai Xu, Yanan Zhou, Wenwei School of Information Science and Engineering Southeast University Nanjing China Southeast University Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education Nanjing China Hangzhou Applied Acoustic Research Institute Hangzhou China

ISBN: (纸本)9798350339994

Beamforming is a fundamental technique in array signal processing, and it is widely used in underwater acoustic target detection and parameter estimation. The beamforming performance degrades severely in the presence of sonar platform interference. In fact, the interference source of the sonar platform radiates as a near-field spherical wave, and thus the time delays from the source to the array sensors would vary with both its distance and azimuth. However, the target signal of interest can be processed as a far-field plane wave. The time delays of the far-field signal are only dependent on the target azimuth when the distance from the target to the array is much larger than the array aperture. In this paper, a novel method is proposed to discriminate between far-field target signal and near-field interference by exploiting the difference in split beam patterns between the two. The feasibility of the proposed method is verified by Monte Carlo simulations. © 2023 IEEE.

关键词： array signal processing conventional beamforming (CBF) cross array near-field interference split beam

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Dolphin Vocal Sound Generation via Deep WaveGAN

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Journal of Electronic science and technology 2022年第3期20卷 282-293页

作者： Lue Zhang Hai-Ning Huang Li Yin Bao-Qi Li Di Wu Hao-Ran Liu Xi-Feng Li Yong-Le Xie the Institute of Acoustics Chinese Academy of SciencesBeijing100190China University of Chinese Academy of Sciences Beijing100049China the Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Chinese Academy of SciencesBeijing100190China the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu611731SichuanChina

The marine biological sonar system evolved in the struggle of nature is far superior to the current artificial sonar. Therefore, the development of bionic underwater concealed detection is of great strategic significance to the military and economy. In this paper, a generative adversarial network(GAN) is trained based on the dolphin vocal sound dataset we constructed, which can achieve unsupervised generation of dolphin vocal sounds with global consistency. Through the analysis of the generated audio samples and the real audio samples in the time domain and the frequency domain, it can be proven that the generated audio samples are close to the real audio samples,which meets the requirements of bionic underwater concealed detection.

关键词： Bionic underwater concealed detection dolphin generative adversarial network(GAN) wave generative adversarial network(WaveGAN)

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THE BOOSTED PROXIMAL DIFFERENCE-OF-CONVEX ALGORITHM

Journal of Applied and Numerical Optimization

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Journal of Applied and Numerical Optimization 2023年第2期5卷 255-269页

作者： Hu, Ziyue Dong, Qiao-Li Qin, Xiaolong Tianjin Key Laboratory for Advanced Signal Processing and College of Science Civil Aviation University of China Tianjin300300 China Center for Advanced Information Technology Kyung Hee University Seoul02447 Korea Republic of

In this paper, we propose a boosted proximal difference-of-convex algorithm for solving a minimization problem composed of the sum of a smooth convex function and a continuously differentiable convex function minus a continuous and strongly convex function. By adding an additional line search step, the convergence of proximal difference-of-convex algorithm is accelerated. We prove that any limit point of iterative sequence is a critical point of generalized difference-of-convex programming, and the corresponding objective value decreases monotonically and converges. By assuming that the objective function satisfies the strong Kurdyka-Lojasiewicz inequality, we prove the convergence of whole sequence of the proposed algorithm and give the convergence rate. The strong convexity of the convex part of the minimization problem in [F.J. Aragón Artacho, P.T. Vuong, The boosted difference of convex functions algorithm for nonsmooth functions, SIAM J. Optim. 30 (2020), 980-1006] is substituted by the Lipschitz continuity of the gradient of one convex function. Numerical experiments are given to demonstrate the performance of the proposed algorithm compared with the proximal difference-ofconvex algorithm. © 2023 Journal of Applied and Numerical Optimization.

关键词： Iterative methods

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