Match-Mode Autoregressive Method for Moving Source Depth Estimation in Shallow Water Waveguides

Liang, Guolong; Zhang, Yifeng; Zou, Nan; Wang, Jinjin

doi:10.1155/2018/7824671

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…The third type is based on normal mode characteristics. Such methods are flexible and changeable, deriving many achievements with practical application value [3][4][5][6][7][8][9][10][11]. According to the series solution of the wave equation in hydroacoustics, the sound field is formed by superposition of several normal modes, and each normal mode have different performances with the change of frequence and the depth of the sound source.…”

Section: Introductionmentioning

confidence: 99%

A depth discrimination method based on the scintillation of frequency domain

Wang,

Gao

2023

J. Phys.: Conf. Ser.

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An innovative algorithm of target depth discrimination suitable for passive horizontal array in shallow sea is discussed in this paper. Based on the idea of modal scintillation theory, a new target depth discrimination method of high calculation speed for horizontal array is proposed by analysing the commonness between frequency domain energy of low-frequency broadband signals and modal excitation. This method avoids the mode decomposition of the horizontal array signals, greatly reduces the complexity, improves the stability, has a fast calculation speed and can perform the real-time depth judgment. In this paper, the principle of the algorithm is derived in detail in the theoretical aspect, and then the algorithm is simulated in the shallow sea environment to verify its effectiveness, and the influence of different influencing factors on the performance of the algorithm is explored. At the same time, the algorithm is verified by the actual experimental data and achieves good results, indicating that the algorithm has certain practical application value in the target depth discrimination domain.

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Section: Introductionmentioning

confidence: 99%

A depth discrimination method based on the scintillation of frequency domain

Wang,

Gao

2023

J. Phys.: Conf. Ser.

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“…Golden [1] performed maximumlikelihood estimation for localization. Liang et al [2] and Premus et al [3] proposed mode filtering approaches to acoustic source depth discrimination. Based on either modal decomposition technique [4] or data-based method [5], source depth estimation was realized by Nicolas and Yang.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Target Depth Classification Algorithm Based on Sea Experiment Data

Zhao

et al. 2019

Journal of Sensors

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Cross-spectrum signals can be calculated by the pressure signals. The sign distribution of cross-spectrum active component can be effectively used for target depth classification algorithm. The algorithm is applicable for depth classification of targets where frequencies can only excite the first two normal modes. The corresponding research results are mainly based on the theoretical study. There are few researches on the algorithm performance based on experiment results. To overcome this research lack, based on the effective depth model, the effects on various receiving depth, source frequency, and received signal-to-noise ratio on the algorithm performance have been studied in this paper. The influence of sound velocity profile parameters (negative gradient, thermocline intensity, thermocline thickness, and up-boundary depth) on the algorithm performance has also been researched. According to the simulation results, proper adjustment of the receiving depths can effectively improve the algorithm performance. The source frequency primarily affects the position of the ideal receiving depth which can be appropriately adjusted according to the depth classification requirements of the real sea environment. The algorithm performance improves gradually with the increase of signal-to-noise ratio. Moreover, the algorithm can also be applied under the conditions of negative gradient and thermocline. The comprehensive sound velocity profile parameters have a large impact on the depth classification performance of the algorithm. Even in the case of strong negative gradient or strong thermocline, the robustness of the algorithm is still high. The feasibility of our presented method has been verified by sea experiment. The practical application value of the ideal receiving depth has been researched and validated. The factors affecting the algorithm performance including line spectrum continuity and received signal-to-noise ratio have also been analyzed in our simulation and real sea experiments.

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Match-Mode Autoregressive Method for Moving Source Depth Estimation in Shallow Water Waveguides

Cited by 2 publications

References 19 publications

A depth discrimination method based on the scintillation of frequency domain

A depth discrimination method based on the scintillation of frequency domain

Performance Analysis of Target Depth Classification Algorithm Based on Sea Experiment Data

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