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Journal articles on the topic 'Through wall radar'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Kılıç, Alper, İsmail Babaoğlu, Ahmet Babalık, and Ahmet Arslan. "Through-Wall Radar Classification of Human Posture Using Convolutional Neural Networks." International Journal of Antennas and Propagation 2019 (March 31, 2019): 1–10. http://dx.doi.org/10.1155/2019/7541814.

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Through-wall detection and classification are highly desirable for surveillance, security, and military applications in areas that cannot be sensed using conventional measures. In the domain of these applications, a key challenge is an ability not only to sense the presence of individuals behind the wall but also to classify their actions and postures. Researchers have applied ultrawideband (UWB) radars to penetrate wall materials and make intelligent decisions about the contents of rooms and buildings. As a form of UWB radar, stepped frequency continuous wave (SFCW) radars have been preferred

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2

Maaref, Nadia, and Patrick Millot. "Array-Based Ultrawideband through-Wall Radar: Prediction and Assessment of Real Radar Abilities." International Journal of Antennas and Propagation 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/602716.

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This paper deals with a new through-the-wall (TTW) radar demonstrator for the detection and the localisation of people in a room (in a noncooperative way) with the radar situated outside but in the vicinity of the first wall. After modelling the propagation through various walls and quantifying the backscattering by the human body, an analysis of the technical considerations which aims at defining the radar design is presented. Finally, an ultrawideband (UWB) frequency modulated continuous wave (FMCW) radar is proposed, designed, and implemented. Some representative trials show that this radar

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3

Sisma, Ondrej, Alain Gaugue, Christophe Liebe, and Jean-Marc Ogier. "UWB radar: vision through a wall." Telecommunication Systems 38, no. 1-2 (2008): 53–59. http://dx.doi.org/10.1007/s11235-008-9087-z.

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4

Jifang, Zhao, Jin Liangnian, and Liu Qinghua. "Through-the-wall radar sparse imaging for building walls." Journal of Engineering 2019, no. 21 (2019): 7403–5. http://dx.doi.org/10.1049/joe.2019.0541.

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5

Shi, Xiaomin, Chenhao Wang, and Chen Zheng. "Wall clutter mitigation based on spread spectrum radar in through‐the‐wall radar." Microwave and Optical Technology Letters 62, no. 5 (2020): 1987–90. http://dx.doi.org/10.1002/mop.32253.

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6

Xu, Hang, Liqiang Li, Ying Li, et al. "Chaos-Based Through-Wall Life-Detection Radar." International Journal of Bifurcation and Chaos 29, no. 07 (2019): 1930020. http://dx.doi.org/10.1142/s0218127419300209.

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We propose a chaos-based through-wall life-detection radar utilizing a wideband Boolean-chaos signal as the radar probe signal. The range between the radar and the human target can be obtained by correlating the chaotic signal reflected from the human target with its delayed duplicate. Actually, this range is modulated periodically by human chest wall displacements along the time axis of recording signal and the modulation frequency is equal to the respiratory frequency. Therefore, we design a life-detection algorithm based on correlation method to extract the human’s respiratory frequency and

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7

Jin, Tian, and Alexander Yarovoy. "A Through-the-Wall Radar Imaging Method Based on a Realistic Model." International Journal of Antennas and Propagation 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/539510.

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An image focusing method based on a realistic model for a wall is proposed for through-the-wall radar imaging using a multiple-input multiple-output array. A technique to estimate the wall parameters (i.e., position, thickness, and permittivity) from the radar returns is developed and tested. The estimated wall properties are used in the developed penetrating image formation to form images. The penetrating image formation developed is computationally efficient to realize real-time imaging, which does not depend on refraction points. The through-the-wall imaging method is validated on simulated

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8

Yoo, Wang, Seol, Lee, Chung, and Cho. "A Multiple Target Positioning and Tracking System Behind Brick-Concrete Walls Using Multiple Monostatic IR-UWB Radars." Sensors 19, no. 18 (2019): 4033. http://dx.doi.org/10.3390/s19184033.

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Recognizing and tracking the targets located behind walls through impulse radio ultra-wideband (IR-UWB) radar provides a significant advantage, as the characteristics of the IR-UWB radar signal enable it to penetrate obstacles. In this study, we design a through-wall radar system to estimate and track multiple targets behind a wall. The radar signal received through the wall experiences distortion, such as attenuation and delay, and the characteristics of the wall are estimated to compensate the distance error. In addition, unlike general cases, it is difficult to maintain a high detection rat

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9

Nkwari, P. K. M., S. Sinha, and H. C. Ferreira. "Through-the-Wall Radar Imaging: A Review." IETE Technical Review 35, no. 6 (2017): 631–39. http://dx.doi.org/10.1080/02564602.2017.1364146.

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10

Sun, X., B. Y. Lu, T. Jin, and Z. M. Zhou. "Wall clutter mitigation in through-the-wall MIMO radar application." Journal of Electromagnetic Waves and Applications 26, no. 17-18 (2012): 2256–66. http://dx.doi.org/10.1080/09205071.2012.732554.

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11

Li, Zhi, Tian Jin, Yongpeng Dai, and Yongkun Song. "Through-Wall Multi-Subject Localization and Vital Signs Monitoring Using UWB MIMO Imaging Radar." Remote Sensing 13, no. 15 (2021): 2905. http://dx.doi.org/10.3390/rs13152905.

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Radar-based non-contact vital signs monitoring has great value in through-wall detection applications. This paper presents the theoretical and experimental study of through-wall respiration and heartbeat pattern extraction from multiple subjects. To detect the vital signs of multiple subjects, we employ a low-frequency ultra-wideband (UWB) multiple-input multiple-output (MIMO) imaging radar and derive the relationship between radar images and vibrations caused by human cardiopulmonary movements. The derivation indicates that MIMO radar imaging with the stepped-frequency continuous-wave (SFCW)

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12

Yang, Degui, Zhengliang Zhu, Junchao Zhang, and Buge Liang. "The Overview of Human Localization and Vital Sign Signal Measurement Using Handheld IR-UWB Through-Wall Radar." Sensors 21, no. 2 (2021): 402. http://dx.doi.org/10.3390/s21020402.

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Obtaining information (e.g., position, respiration, and heartbeat rates) on humans located behind opaque and non-metallic obstacles (e.g., walls and wood) has prompted the development of non-invasive remote sensing technologies. Due to its excellent features like high penetration ability, short blind area, fine-range resolution, high environment adoption capabilities, low cost and power consumption, and simple hardware design, impulse radio ultra-wideband (IR-UWB) through-wall radar has become the mainstream primary application radar used for the non-invasive remote sensing. IR-UWB through-wal

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13

Yang, Degui, Zhengliang Zhu, Junchao Zhang, and Buge Liang. "The Overview of Human Localization and Vital Sign Signal Measurement Using Handheld IR-UWB Through-Wall Radar." Sensors 21, no. 2 (2021): 402. http://dx.doi.org/10.3390/s21020402.

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Obtaining information (e.g., position, respiration, and heartbeat rates) on humans located behind opaque and non-metallic obstacles (e.g., walls and wood) has prompted the development of non-invasive remote sensing technologies. Due to its excellent features like high penetration ability, short blind area, fine-range resolution, high environment adoption capabilities, low cost and power consumption, and simple hardware design, impulse radio ultra-wideband (IR-UWB) through-wall radar has become the mainstream primary application radar used for the non-invasive remote sensing. IR-UWB through-wal

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14

Raha, Krishnendu, and K. P. Ray. "Through Wall Imaging Radar Antenna with a Focus on Opening New Research Avenues." Defence Science Journal 71, no. 5 (2021): 670–81. http://dx.doi.org/10.14429/dsj.71.16592.

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This review paper is an effort to develop insight into the development in antennas for through wall imaging radar application. Review on literature on antennas for use in through wall imaging radar, fulfilling one or more requirements/specifications such as ultrawide bandwidth, stable and high gain, stable unidirectional radiation pattern, wide scanning angle, compactness ensuring portability and facilitating real-time efficient and simple imaging is presented. The review covers variants of Vivaldi, Bow tie, Horn, Spiral, Patch and Magneto-electric dipole antennas demonstrated as suitable ante

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15

Ahmad, F., M. G. Amin, and G. Mandapati. "Autofocusing of Through-the-Wall Radar Imagery Under Unknown Wall Characteristics." IEEE Transactions on Image Processing 16, no. 7 (2007): 1785–95. http://dx.doi.org/10.1109/tip.2007.899030.

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16

Kishore Kumar, P., and T. Kishore Kumar. "UWB Impulse Radar for Through-The-Wall Imaging." International Journal of Electromagnetics and Applications 1, no. 1 (2012): 19–23. http://dx.doi.org/10.5923/j.ijea.20110101.05.

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17

Amin, Moeness G., and Fauzia Ahmad. "Compressive sensing for through-the-wall radar imaging." Journal of Electronic Imaging 22, no. 3 (2013): 030901. http://dx.doi.org/10.1117/1.jei.22.3.030901.

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18

Wood, Aihua, Ryan Wood, and Matthew Charnley. "Through-the-wall radar detection using machine learning." Results in Applied Mathematics 7 (August 2020): 100106. http://dx.doi.org/10.1016/j.rinam.2020.100106.

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19

Zhang, Xuehui, Xiaoli Xi, Zhongguo Song, Supin Wang, Mingxi Wan, and Daocheng Wu. "Performance Analysis of Spread Spectrum Through Wall Radar." IEEE Transactions on Magnetics 50, no. 11 (2014): 1–4. http://dx.doi.org/10.1109/tmag.2014.2330826.

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20

Chen, Xi, and Weidong Chen. "Multipath ghost elimination for through‐wall radar imaging." IET Radar, Sonar & Navigation 10, no. 2 (2016): 299–310. http://dx.doi.org/10.1049/iet-rsn.2015.0171.

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21

Burkholder, Robert J., and Kenneth E. Browne. "Coherence Factor Enhancement of Through-Wall Radar Images." IEEE Antennas and Wireless Propagation Letters 9 (2010): 842–45. http://dx.doi.org/10.1109/lawp.2010.2069078.

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22

Ahmad, Fauzia, and Moeness Amin. "Noncoherent approach to through-the-wall radar localization." IEEE Transactions on Aerospace and Electronic Systems 42, no. 4 (2006): 1405–19. http://dx.doi.org/10.1109/taes.2006.314581.

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23

Yoon, Yeo-Sun, Moeness G. Amin, and Fauzia Ahmad. "MVDR Beamforming for Through-the-Wall Radar Imaging." IEEE Transactions on Aerospace and Electronic Systems 47, no. 1 (2011): 347–66. http://dx.doi.org/10.1109/taes.2011.5705680.

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24

Qinyan Tan, Henry Leung, Yaoliang Song, and Towe Wang. "Multipath ghost suppression for through-the-wall radar." IEEE Transactions on Aerospace and Electronic Systems 50, no. 3 (2014): 2284–92. http://dx.doi.org/10.1109/taes.2013.100241.

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25

Chen, Pin-Heng, and Ram M. Narayanan. "Shifted Pixel Method for Through-Wall Radar Imaging." IEEE Transactions on Antennas and Propagation 60, no. 8 (2012): 3706–16. http://dx.doi.org/10.1109/tap.2012.2201105.

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26

Venkatasubramanian, V., H. Leung, and Xiaoxiang Liu. "Chaos UWB Radar for Through-the-Wall Imaging." IEEE Transactions on Image Processing 18, no. 6 (2009): 1255–65. http://dx.doi.org/10.1109/tip.2009.2017340.

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27

Narayanan, Ram M. "Through-wall radar imaging using UWB noise waveforms." Journal of the Franklin Institute 345, no. 6 (2008): 659–78. http://dx.doi.org/10.1016/j.jfranklin.2008.03.004.

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28

Sun, Hongbo, Lek Guan Chia, and Sirajudeen Gulam Razul. "Through-Wall Human Sensing With WiFi Passive Radar." IEEE Transactions on Aerospace and Electronic Systems 57, no. 4 (2021): 2135–48. http://dx.doi.org/10.1109/taes.2021.3069767.

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29

Susek, Waldemar, and Bronisław Stec. "Short-Range Noise Radar with Microwave Correlator for Through-The-Wall Detection." Metrology and Measurement Systems 20, no. 3 (2013): 351–58. http://dx.doi.org/10.2478/mms-2013-0030.

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Abstract The analysis of the autocorrelation function of a noise signal in a limited band of a microwave frequency range is described in the paper. On the basis of this analysis the static characteristic of the detector for object movement was found. The measurement results for the correlation function of noise signals are shown and the application of such solution in a noise radar for the precise determination of distance variations and the velocity of these changes is presented in the paper. The construction, working principle and measurement results for through-thewall noise radar demonstra

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30

Zhang, Wenji, Moeness G. Amin, Fauzia Ahmad, Ahmad Hoorfar, and Graeme E. Smith. "Ultrawideband Impulse Radar Through-the-Wall Imaging with Compressive Sensing." International Journal of Antennas and Propagation 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/251497.

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Compressive Sensing (CS) provides a new perspective for addressing radar applications requiring large amount of measurements and long data acquisition time; both issues are inherent in through-the-wall radar imaging (TWRI). Most CS techniques applied to TWRI consider stepped-frequency radar platforms. In this paper, the impulse radar two-dimensional (2D) TWRI problem is cast within the framework of CS and solved by the sparse constraint optimization performed on time-domain samples. Instead of the direct sampling of the time domain signal at the Nyquist rate, the Random Modulation Preintegrati

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31

Yeo-Sun Yoon and M. G. Amin. "Spatial Filtering for Wall-Clutter Mitigation in Through-the-Wall Radar Imaging." IEEE Transactions on Geoscience and Remote Sensing 47, no. 9 (2009): 3192–208. http://dx.doi.org/10.1109/tgrs.2009.2019728.

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32

Protiva, P., J. Mrkvica, and J. Machac. "Estimation of Wall Parameters From Time-Delay-Only Through-Wall Radar Measurements." IEEE Transactions on Antennas and Propagation 59, no. 11 (2011): 4268–78. http://dx.doi.org/10.1109/tap.2011.2164206.

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33

Jia, Yong, Lingjiang Kong, and Xiaobo Yang. "A NOVEL APPROACH TO TARGET LOCALIZATION THROUGH UNKNOWN WALLS FOR THROUGH-THE-WALL RADAR IMAGING." Progress In Electromagnetics Research 119 (2011): 107–32. http://dx.doi.org/10.2528/pier11052402.

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34

Yoo, Sungwon, Dong-Min Seol, Chulsoo Lee, Dingyang Wang, and Sung Ho Cho. "New Detection Algorithm for a Through-Wall Radar System." Journal of Korean Institute of Electromagnetic Engineering and Science 31, no. 3 (2020): 301–18. http://dx.doi.org/10.5515/kjkiees.2020.31.3.301.

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35

Zheng, Wenjun, Zhiqin Zhao, and Zai-Ping Nie. "APPLICATION OF TRM IN THE UWB THROUGH WALL RADAR." Progress In Electromagnetics Research 87 (2008): 279–96. http://dx.doi.org/10.2528/pier08101202.

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36

Shiyou Wu, Yanyun Xu, Jie Chen, Shengwei Meng, Guangyou Fang, and Hejun Yin. "Through-Wall Shape Estimation Based on UWB-SP Radar." IEEE Geoscience and Remote Sensing Letters 10, no. 5 (2013): 1234–38. http://dx.doi.org/10.1109/lgrs.2012.2237012.

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37

Li, Gang, and Robert J. Burkholder. "Hybrid matching pursuit for distributed through-wall radar imaging." IEEE Transactions on Antennas and Propagation 63, no. 4 (2015): 1701–11. http://dx.doi.org/10.1109/tap.2015.2398115.

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38

Yang, Xiaqing, Pengyun Chen, Mingyang Wang, Shisheng Guo, Chao Jia, and Guolong Cui. "Human Motion Serialization Recognition With Through-the-Wall Radar." IEEE Access 8 (2020): 186879–89. http://dx.doi.org/10.1109/access.2020.3029247.

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39

Dionisio, Carlos R. P., Sérgio Tavares, Marcelo Perotoni, and Sergio Kofuji. "Experiments on through-wall imaging using ultra wideband radar." Microwave and Optical Technology Letters 54, no. 2 (2011): 339–44. http://dx.doi.org/10.1002/mop.26543.

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40

Lai, Chieh-Ping, and Ram M. Narayanan. "Ultrawideband Random Noise Radar Design for Through-Wall Surveillance." IEEE Transactions on Aerospace and Electronic Systems 46, no. 4 (2010): 1716–30. http://dx.doi.org/10.1109/taes.2010.5595590.

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41

Seng, Cher Hau, Moeness G. Amin, Fauzia Ahmad, and Abdesselam Bouzerdoum. "Image Segmentations for Through-the-Wall Radar Target Detection." IEEE Transactions on Aerospace and Electronic Systems 49, no. 3 (2013): 1869–96. http://dx.doi.org/10.1109/taes.2013.6558025.

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42

Ding, Yipeng, Yinhua Sun, Juan Zhang, and Ling Wang. "Multiperspective Target Tracking Approach for Doppler Through-Wall Radar." IEEE Geoscience and Remote Sensing Letters 15, no. 7 (2018): 1020–24. http://dx.doi.org/10.1109/lgrs.2018.2823422.

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43

Ding, Yipeng, Jingtian Tang, Xuemei Xu, and Jiliang Zhang. "Echo Interference Suppression Approach for Doppler Through-Wall Radar." IEEE Sensors Journal 15, no. 6 (2015): 3395–402. http://dx.doi.org/10.1109/jsen.2014.2374419.

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44

Rittiplang, Artit, and Pattarapong Phasukkit. "Through-Wall UWB Radar Based on Sparse Deconvolution with Arctangent Regularization for Locating Human Subjects." Sensors 21, no. 7 (2021): 2488. http://dx.doi.org/10.3390/s21072488.

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A common problem in through-wall radar is reflected signals much attenuated by wall and environmental noise. The reflected signal is a convolution product of a wavelet and an unknown object time series. This paper aims to extract the object time series from a noisy receiving signal of through-wall ultrawideband (UWB) radar by sparse deconvolution based on arctangent regularization. Arctangent regularization is one of the suitably nonconvex regularizations that can provide a reliable solution and more accuracy, compared with convex regularizations. An iterative technique for this deconvolution

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45

Rittiplang, Artit, and Pattarapong Phasukkit. "1-Tx/5-Rx Through-Wall UWB Switched-Antenna-Array Radar for Detecting Stationary Humans." Sensors 20, no. 23 (2020): 6828. http://dx.doi.org/10.3390/s20236828.

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This research proposes a through-wall S-band ultra-wideband (UWB) switched-antenna-array radar scheme for detection of stationary human subjects from respiration. The proposed antenna-array radar consists of one transmitting (Tx) and five receiving antennas (Rx). The Tx and Rx antennas are of Vivaldi type with high antenna gain (10 dBi) and narrow-angle directivity. The S-band frequency (2–4 GHz) is capable of penetrating non-metal solid objects and detecting human respiration behind a solid wall. Under the proposed radar scheme, the reflected signals are algorithmically preprocessed and filte

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46

Cho, Hui-Sup, and Young-Jin Park. "Detection of Heart Rate through a Wall Using UWB Impulse Radar." Journal of Healthcare Engineering 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/4832605.

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Measuring the physiological functions of the human body in a noncontact manner through walls is useful for healthcare, security, and surveillance. And radar technology can be used for this purpose. In this paper, a new method for detecting the human heartbeat using ultra wideband (UWB) impulse radar, which has advantages of low power consumption and harmlessness to human body, is proposed. The heart rate is extracted by processing the radar signal in the time domain and then using a principal component analysis of the time series data to indicate the phase variations that are caused by heartbe

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47

Hu, Jun, Zhenlong Yuan, Guofu Zhu, and Zhimin Zhou. "Robust Detection of Moving Human Target Behind Wall via Impulse through-Wall Radar." Defence Science Journal 63, no. 6 (2013): 636–42. http://dx.doi.org/10.14429/dsj.63.5766.

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48

Sun, Yanpeng, Li Chen, and Lele Qu. "Through-the-wall radar imaging algorithm for moving target under wall parameter uncertainties." IET Image Processing 13, no. 11 (2019): 1903–8. http://dx.doi.org/10.1049/iet-ipr.2018.5670.

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49

Muqaibel, Ali H., and Ali A. Albeladi. "Dynamic Joint Reconstruction of Walls and Targets in Through-the-Wall Radar Imaging." IEEE Access 7 (2019): 134028–35. http://dx.doi.org/10.1109/access.2019.2941390.

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50

Hu, Zhipeng, Zhaofa Zeng, Kun Wang, et al. "Design and Analysis of a UWB MIMO Radar System with Miniaturized Vivaldi Antenna for Through-Wall Imaging." Remote Sensing 11, no. 16 (2019): 1867. http://dx.doi.org/10.3390/rs11161867.

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The ultra-wideband (UWB) multi-input multi-output (MIMO) radar technique is playing a more and more important role in the application of through-wall detection because of its high resolution, lower antenna requirements, and efficient data capturing ability. This paper develops a novel UWB MIMO radar system using a stepped-frequency continuous-wave (SFCW) signal, which is designed to detect human targets behind the regular brick and concrete wall. In order to balance high range resolution and wall-penetration depth, a novel miniaturized Vivaldi antenna with desired bandwidth of 0.5–2.5 GHz was

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