基于灰色模型的舰船声信号目标识别

Target Recognition of Ship Noise Based on Gray Model

深入研究了灰色模型在目标识别中的应用,给出了基于灰色模型的目标识别方案,利用舰船声场仿真数据,建立目标声信号的GM （1,1）模型,并用组合神经网络对两类目标的模型参数进行分类与识别。此外,还利用舰船声场实测数据,对识别结果进行了验证。研究表明灰建模方法在目标识别中是可行的和有效的。

The application of gray model in target recognition is deeply studied. The scheme of target recognition based on gray model is raised. The GM (1,1) of target noise are set up with simulation data. The model parameters are used in target recognition and classification with combination neural networks. Moreover, the recognition results are verified with the measured data of ship noise. The research results indicate that the gray model method is feasible and available in target recognition.