Non-Line-of-Sight Moving Target Detection Method Based on Noise Suppression

At the present time, most of existing security systems only detect and track targets in line-of-sight (LOS). However, practice, locations are often out line sight. This article focuses on non-line-of-sight (NLOS) moving target detection with low-power transmission signals by reflection. There two key problems, weak echo signal multipath effect. In terms issues, this paper constructs model NLOS target. On basis model, method based millimeter-wave radar comes up, which is great theoretical value important practical significance for indoor security. innovatively applies polynomial fitting to suppress static noise range gating from other gates. Then, location velocity estimated two-dimensional fast Fourier transform (FFT) multiple classification (MUSIC) method. Furthermore, order verify accuracy proposed paper, we respectively simulated parts direct backscattered intermediate interface, both signals. We counted path length distribution these parts, applied process them respectively. addition, also obtained actual data scene, processed data. Comparing results without denoising methods, effectiveness methods verified.