Taking the real part and the imaginary part of complex sound pressure of the sound field as features,a transfer learning model is *** on the pre-training of a large amount of underwater acoustic data in the preselecte...
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Taking the real part and the imaginary part of complex sound pressure of the sound field as features,a transfer learning model is *** on the pre-training of a large amount of underwater acoustic data in the preselected sea area using the convolutional neural network(CNN),the few-shot underwater acoustic data in the test sea area are retrained to study the underwater sound source ranging *** S5 voyage data of SWellEX-96 experiment is used to verify the proposed method,realize the range estimation for the shallow source in the experiment,and compare the range estimation performance of the underwater target sound source of four methods:matched field processing(MFP),generalized regression neural network(GRNN),traditional CNN,and transfer *** data processing results show that the transfer learning model based on residual CNN can effectively realize range estimation in few-shot scenes,and the estimation performance is remarkably better than that of other methods.
The elastic scattering features of the underwater target scattering wave depend on the physical parameters of the target, such as the material and structure. Intuitively evaluating the influence of the elastic scatter...
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In this paper,in order to reduce the energy leakage caused by the discretized representation in sparse channel estimation for Orthogonal Frequency Division Multiplexing(OFDM)systems,we systematically have analyzed the...
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In this paper,in order to reduce the energy leakage caused by the discretized representation in sparse channel estimation for Orthogonal Frequency Division Multiplexing(OFDM)systems,we systematically have analyzed the optimal locations of atoms with discrete delays for each path reconstruction from the perspective of linear fitting ***,we have investigated the adverse effects of the non-ideal inner product function on the iteration in one of the most widely used channel estimation method,Orthogonal Matching Pursuit(OMP).The study shows that the distance between the selected atoms for each path in OMP can be larger than the sampling interval,which prevents OMP-based methods from achieving better *** overcome this drawback,the image deblurring-based channel estimation method,in which the channel estimation problem is analogized to one-dimensional image deblurring,was proposed to improve the large compensation distance of traditional *** advantage of the proposed method was validated by the results of numerical simulation and sea trial data decoding.
To enhance the unsteady narrowband spectrum of ship noise, an unsteady narrowband stochastic resonance processing method based on particle swarm optimization (PSO) was proposed. The method adopts a bistable stochastic...
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In order to reduce the coupling between dense antenna arrays in multiple input multiple output (MIMO) systems, this paper proposes a method to reduce the coupling between microstrip antenna arrays by utilizing a defec...
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To study the vertical distribution characteristics of object echo in water, a simulation method based on a large-aperture virtual extended array is proposed. The proposed method adopts the near-field plate element met...
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A tandem propeller is a kind of propulsion device that is installed on the outer axis and the inner axis with the same axis respectively and rotates positively and negatively. Taking DTMB tandem thrusters as an exampl...
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The proposed method suppresses low-frequency cable vibration noise in a vertical array acoustic observation system using the frequency vertical wavenumber spectrum. Initially, the frequency wavenumber spectrum is extr...
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How to prioritize observation targets when carrying out multi-target observation is an essential question for underwater mobile observation platforms. This problem can be solved by ranking the observation targets usin...
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This paper presents a comprehensive methodology for modeling ship target radiated noise spectrum characteristics, addressing the challenges of limited data availability. The proposed methodology includes data collecti...
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