Radio frequency interference (RFI) significantly hampers the target detection performance of frequency-modulated continuous-wave radar. To address the problem and maintain the target echo signal, this paper proposes a priori assumption on the interference component nature in the radar received signal, as well as a method for interference estimation and mitigation via time–frequency analysis. The solution employs Fourier synchrosqueezed transform to implement the radar’s beat signal transformation from time domain to time–frequency domain, thus converting the interference mitigation to the task of time–frequency distribution image restoration. The solution proposes the use of image processing based on the dual-tree complex wavelet transform and combines it with the spatial domain-based approach, thereby establishing a dual-domain fusion interference filter for time–frequency distribution images. This paper also presents a convolutional neural network model of structurally improved UNet++, which serves as the interference estimator. The proposed solution demonstrated its capability against various forms of RFI through the simulation experiment and showed a superior interference mitigation performance over other CNN model-based approaches.

As an emerging kinetic damage weapon system, railgun has attracted much attention due to its remarkable advantages such as high initial speed, high kinetic energy, high shooting speed, high emission density, low cost, and antijamming. However, there are currently degradations of electromagnetic railgun launch performance and reliability, the limited service life as well, resulting from rail damage such as the transition erosion and grooving damage. Based on 24 consecutive shots, this paper presents the statistical analysis of B-dot probe data, aiming to show the working stability and reliability of the electromagnetic rail launch system when consecutive firing. On the basis of current data and B-dot probe data, the speed-displacement curve was obtained by simulation, through which it is easy to get the movement state of the armature in the launch track. Finally, by checking the disassembly of the launch rail, this paper analyses the damage states of launching rail after the 24 consecutive launch experiments. Through the above three aspects of research and analysis, this paper could be the reference for the further research and analysis on the performance and lifetime of railgun.

When the electromagnetic rail gun accelerates the armature, the rail is in a harsh condition of high temperature, high pressure and powerful current which will cause a series of grooving phenomenon. In order to detect the inner bore profile, we developed a measuring device using laser triangulation method and basically realized the measurement of the inner bore profile measurement. However, except for the translation and deflection errors, we found that the actual measurement cross-section would be rotated due to the unsteady movement compared with the ideal section. In addition, the previous calibration needs a high-resolution image sensor to get deflection information, it means high cost. In this paper, we analyzed the 3 kinds of deviations and provide a method to calibrate the rotation error using a calibration block. An improved calibration system was designed in low cost and experiment verified the feasibility of the calibration method. The calibration system can be divided into 3 parts, the outside global laser light provides a constant central position, a distance detecting device with a cone laser generator and an inside calibration block. After experiment, the calibration method was effective and the deviation of the profile can be corrected.