Abstract：With the development of information technology, the emergence of virtual reality technology has reconfigured the traditional experimental teaching form. Relying on virtual reality technology, the underwater magnetic target detection experimental platform was independently developed by integrating basic physical knowledge with military problems. Through this technology, a large amount of magnetic field numerical simulation data is realized to be displayed intuitively on the virtual platform, an experimental scenario of real-time measurement and display of magnetic anomalies is constructed, and the experimental environment and teaching module are skillfully designed. The experimental platform can help students deeply understand the physical nature of magnetic phenomena and open the window of professional application.

Abstract：The causes of sea clutter are complex and diverse, and the target echo is influenced by various factors, which seriously affects the detection, recognition, and tracking of sea targets. In order to solve the problem of insufficient accuracy of traditional research methods, this paper analyzes the statistical characteristics of sea clutter, constructs a three-dimensional feature vector with amplitude entropy, Hurst index and frequency domain peak as the characteristic components, and adopts convolutional neural network method to realize the obvious distinction between sea clutter and targets in feature space.

Abstract：At present, in the simulation of sea surface echo signals in radar systems, target echo models are established only based on parameters such as distance and relative motion speed. However, in reality, the echoes detected by radar on the sea surface not only include ship targets, but also electromagnetic scattering of waves, resulting in complex detection environments. This article uses composite electromagnetic scene simulation calculation technology to calculate the scattering scene of targets and sea surface coupling under low sea conditions, achieving radar cross section estimating and imaging, high-resolution one-dimensional range profile imaging and inverse synthetic aperture radar imaging of certain typical military targets and background environments. Simulation results of the target were analyzed.

Abstract：An agile long-term hybrid accumulation method based on micro sliding window is proposed for detecting weak targets in terminal guidance radar under clutter background. Long term coherent accumulation is an effective method for detecting weak targets, but this type of method requires a large amount of parameter search and is not suitable for the real-time performance of missile borne terminal guidance radar. Long term coherent accumulation is divided into short-term MTD processing and long-term PRT transformation non coherent accumulation processing to solve the problem of large computational complexity in existing long term coherent accumulation. In response to the data rate requirements of guidance systems, furthermore, it is proposed to use a micro sliding window to achieve edge accumulation and output of data, meeting the demand for output data rate of terminal guidance radar. Simulation and actual data verify the feasibility and superiority of the method.