Target Identification with Improved 2D-VMD for Carrier-Free UWB Radar

Abstract

In recent years, the interest in radar automatic target recognition (RATR) based on the carrier-free ultra-wideband (UWB) radar has been increasing. Compared with narrow-band and other bandwidth radars, the echo signal of the carrier-free UWB radar includes more comprehensive and detailed information with respect to the targeted object. In this paper, we first utilized 3ds Max to acquire accurate geometric models and applied a time-domain integral equation (TDIE) for echo signal acquisition under the condition that the transmitted signals had an extremely short duration period. By comparing the simulated waveform with the actual one, the accuracy of the electromagnetic modeling is verified. Furthermore, given that the actual environment is full of noise and clutter, we propose an improved two-dimensional variational mode decomposition (2D-IVMD), and an algorithm is proposed to eliminate noise and extract edge features preliminarily, which lays a foundation for further in-depth feature extraction. Then, the deep conventional neural network (DCNN) is introduced for the final recognition. The results show that the proposed methods achieve promising classification performance under the condition of low signal-to-noise ratio (SNR) values.

Application of 2D Variational Mode Decomposition Method in Seismic Signal Denoising

“…Feng, Liu, Liu, Zhou, and Zhao [19] used the adaptive Wiener filtering method to process the signal after decomposition of 2D-VMD and reconstruct the signal, which improved the details after the image denoising. Zhu, Zhang, Zhao, and Chen [20] proposed an improved 2D-IVMD for target recognition of carrier-free ultra-wideband (UWB) radar.…”

An imaging algorithm research for the airborne ultra-wideband synthetic aperture radar

“…Literature [2] studied and discussed the application of Ultra-wideband radar in aviation safety system. Literature [3] proposed an improved target recognition algorithm based on carrier-free Ultrawideband radar to improve the target recognition effect of Ultra-wideband radar. Like synthetic aperture radar and common radar, Ultra-wideband synthetic aperture radar also depends on the transmission and reception of electromagnetic pulse, and the matching filtering processing of azimuth and range two-dimensional images is the key of radar imaging [4][5][6] .…”

The PCA feature extraction of target based on carrier-free UWB radar

“…The 2D-VMD algorithm divides the input image into several modes and a residue. Given that the actual environment is fully with noise and clutter, an improved two-dimensional variational mode decomposition (2D-IVMD) [6] was proposed. Unlike the traditional 2D-VMD method, in the improved 2D-VMD algorithm, Shuning Zhang etc.…”