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, in practice, the locations of targets are often out of the line of sight. This article focuses on the non-line-of-sight (NLOS) moving target detection with low-power transmission sig...

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Main Authors: Yilin Wei, Bing Sun, Yuetong Zhou, Haochuan Wang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/7/1614
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author Yilin Wei
Bing Sun
Yuetong Zhou
Haochuan Wang
author_facet Yilin Wei
Bing Sun
Yuetong Zhou
Haochuan Wang
author_sort Yilin Wei
collection DOAJ
description At the present time, most of existing security systems only detect and track targets in line-of-sight (LOS). However, in practice, the locations of targets are often out of the line of sight. This article focuses on the non-line-of-sight (NLOS) moving target detection with low-power transmission signals by reflection. There are two key problems, the weak target echo signal and the multipath effect. In terms of the issues, this paper constructs the echo signal model of the NLOS target. On the basis of the echo model, the detection method of NLOS moving target based on millimeter-wave radar comes up, which is of great theoretical value and important practical significance for indoor security. This paper innovatively applies the polynomial fitting method to suppress static noise and range gating method to suppress noise from other range gates. Then, the location and velocity of the target are estimated by two-dimensional fast Fourier transform (FFT) and the multiple signal classification (MUSIC) method. Furthermore, in order to verify the accuracy of the NLOS target echo signal model proposed in this paper, we respectively simulated two important parts of the signal in the model, the target echo signal and the direct backscattered signal of the intermediate interface, both of which are multipath signals. We counted the echo path length distribution in these two parts, and applied the NLOS target detection method to process them respectively. In addition, we also simulated the NLOS target echo signal and obtained actual data in the actual scene, and processed both the simulated data and the actual data. Comparing the results of target detection with and without denoising methods, the effectiveness of the two denoising methods proposed in this paper is verified.
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spelling doaj.art-482888c970774fb59c6f9f7b41fbd60e2023-11-30T23:56:31ZengMDPI AGRemote Sensing2072-42922022-03-01147161410.3390/rs14071614Non-Line-of-Sight Moving Target Detection Method Based on Noise SuppressionYilin Wei0Bing Sun1Yuetong Zhou2Haochuan Wang3School of Electronics and Information Engineering, Beihang University, Beijing 100081, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 100081, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 100081, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing 100081, ChinaAt the present time, most of existing security systems only detect and track targets in line-of-sight (LOS). However, in practice, the locations of targets are often out of the line of sight. This article focuses on the non-line-of-sight (NLOS) moving target detection with low-power transmission signals by reflection. There are two key problems, the weak target echo signal and the multipath effect. In terms of the issues, this paper constructs the echo signal model of the NLOS target. On the basis of the echo model, the detection method of NLOS moving target based on millimeter-wave radar comes up, which is of great theoretical value and important practical significance for indoor security. This paper innovatively applies the polynomial fitting method to suppress static noise and range gating method to suppress noise from other range gates. Then, the location and velocity of the target are estimated by two-dimensional fast Fourier transform (FFT) and the multiple signal classification (MUSIC) method. Furthermore, in order to verify the accuracy of the NLOS target echo signal model proposed in this paper, we respectively simulated two important parts of the signal in the model, the target echo signal and the direct backscattered signal of the intermediate interface, both of which are multipath signals. We counted the echo path length distribution in these two parts, and applied the NLOS target detection method to process them respectively. In addition, we also simulated the NLOS target echo signal and obtained actual data in the actual scene, and processed both the simulated data and the actual data. Comparing the results of target detection with and without denoising methods, the effectiveness of the two denoising methods proposed in this paper is verified.https://www.mdpi.com/2072-4292/14/7/1614non-line-of-sight (NLOS)millimeter wavemoving target detectionnoise suppression
spellingShingle Yilin Wei
Bing Sun
Yuetong Zhou
Haochuan Wang
Non-Line-of-Sight Moving Target Detection Method Based on Noise Suppression
Remote Sensing
non-line-of-sight (NLOS)
millimeter wave
moving target detection
noise suppression
title Non-Line-of-Sight Moving Target Detection Method Based on Noise Suppression
title_full Non-Line-of-Sight Moving Target Detection Method Based on Noise Suppression
title_fullStr Non-Line-of-Sight Moving Target Detection Method Based on Noise Suppression
title_full_unstemmed Non-Line-of-Sight Moving Target Detection Method Based on Noise Suppression
title_short Non-Line-of-Sight Moving Target Detection Method Based on Noise Suppression
title_sort non line of sight moving target detection method based on noise suppression
topic non-line-of-sight (NLOS)
millimeter wave
moving target detection
noise suppression
url https://www.mdpi.com/2072-4292/14/7/1614
work_keys_str_mv AT yilinwei nonlineofsightmovingtargetdetectionmethodbasedonnoisesuppression
AT bingsun nonlineofsightmovingtargetdetectionmethodbasedonnoisesuppression
AT yuetongzhou nonlineofsightmovingtargetdetectionmethodbasedonnoisesuppression
AT haochuanwang nonlineofsightmovingtargetdetectionmethodbasedonnoisesuppression