Research on the Integrated Prediction Method of Sea Clutter Characteristic Parameters

Accurate prediction of sea clutter characteristic parameters can help to improve the detection performance of radar on sea targets. However, the existing methods predict each characteristic parameter independently, which brings a lot of difficulties in practical application. In this paper, based on the measured clutter data under different radar operating conditions and marine environmental parameters, a parameter prediction model of sea clutter characteristics is established by using residual networks starting from the description of multi-source measurement parameters. The network model proposed in this paper enables holistic prediction of clutter characteristic parameters. Based on the experimental results of the measured data, it can be seen that the method proposed in this paper has a high prediction accuracy, a wide range of application, and a more convenient use process.