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研究了浅水情况下水雷目标探测问题。对水雷探测舰艇目标浅水相干多途信道进行了分析与建模;提出采用高精度快速时延估计法提高浅水情况下测向精度;采用神经网络的高容错性解决目标浅水频谱结构的不稳定性带来的识别结果的不稳定性问题等,并做了较为详细的阐述。实测数据表明,本文所提出的浅水信道情况下对舰艇目标的检测方法是有效和可行的。
The problem of mine target detection in shallow water is studied. The target shallow water coherent multichannel channel of the mine detection and detection vessel was analyzed and modeled. The high accuracy and fast time delay estimation method was proposed to improve the DF accuracy in shallow water. The high fault tolerance of neural network was used to solve the instability of the target shallow water spectral structure Brought about the instability of identification results, etc., and made a more detailed exposition. The measured data show that the method proposed in this paper is effective and feasible for the detection of ships’ targets in the case of shallow water channel.