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Research on Target Depth Attribute Determination Method Based on Pressure Cross Spectrum in Shallow Water

机译:基于浅水压力交叉光谱的目标深度属性确定方法研究

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Aiming at the requirements for determining the depth attributes of submerged targets in shallow water, a novel target depth attribute determination algorithm using dual vertical receiving sensors has been proposed in this paper. This algorithm solves the problems that the existing algorithms generally have the disadvantages of large array aperture, limited sea depth range and limited target type range. In this paper, the theoretical research and experimental analysis of pressure cross spectrum excited by target have been carried out. The receiving depth selection method suitable for different sea conditions and the method for determining depth attributes of submerged targets whose frequencies can excite first three modes have been proposed. Secondly, the impact of waveguide parameters on algorithm performance has been analyzed, in order to verify the feasibility and robustness of the algorithm. Then, according to the performance analysis results of the algorithm, the specific applicable conditions and usage methods of the algorithm have been given. The experimental results show that when the receiving sensors are placed near the ideal receiving depths, the new proposed algorithm is suitable for the case where the line spectrum frequency can excite first three modes and for low signal-to-noise ratio conditions, but becomes more sensitive to the sound speed profile. It is only suitable for weak negative gradient conditions. The critical depth value is larger than ideal value, and it is difficult to adjust.
机译:针对确定浅水中浸没目标深度属性的要求,本文提出了一种新的目标深度属性确定算法。该算法解决了现有算法通常具有大阵列孔径,有限的海深度范围和有限的目标类型范围的缺点的问题。本文采用了靶激发的压力交叉光谱的理论研究和实验分析。接收深度选择方法适用于不同的海况和确定频率可以激发前三种模式的浸没目标的深度属性的方法。其次,已经分析了波导参数对算法性能的影响,以验证算法的可行性和鲁棒性。然后,根据算法的性能分析结果,已经给出了算法的具体适用条件和使用方法。实验结果表明,当接收传感器放置在理想​​的接收深度附近时,新的所提出的算法适用于线谱频率可以激发前三种模式和低信噪比条件的情况,但变得更加对声速剖面敏感。它仅适用于弱负梯度条件。临界深度值大于理想值,很难调整。

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