Singular value decomposition-based algorithm for IEEE 802.11a interference suppression in DS-UWB and TH-PAM UWB systems, in Proceedings of the Vehicular technology conference, 2006 (Germany: Spring), May 2006 23782382. For human movement detection using the UWB radar, different echo delays from movements at different distance points could be acquired. Abstract: UWB radar for detection and positioning of human beings in a complex environment has been developed and manufactured. Zhao, T., Zhang, Y., Yang, L., and Dong, Z. 18, 437441. where is the energy of the th sampling window of the received signal, and the window with maximum energy will be used as the first sampling position. Therefore, for further convenience of calculation and comparison, we set the SNCR to 50dB to represent the detection failure. Lett. (a) Grayscale of the original received signal. SFA-based ELM for remote detection of stationary objects Consequently, the interference at these conditions will cause a serious influence on the UWB detection performance and lead to detecting mistakes. PDF Human Detection and Tracking with UWB radar - DiVA Contact-free detection of obstructive sleep apnea based on wavelet information entropy spectrum using bio-radar. The RFI experiments were performed at all the interference positions given in Figure 3. Step 3: Adaptive enhancement. A. Nezirovic, A. G. Yarovoy, and L. P. Ligthart, Signal processing for improved detection of trapped victims using UWB radar, IEEE Transactions on Geoscience and Remote Sensing, vol. UWB radar for human being detection Abstract: UWB radar for detection and positioning of human beings in complex environment has been developed and manufactured. Discussion: This study shows potential in providing transcendental knowledge and guidance for special EI suppression study, and even for the future design, manufacture, and rational use of the UWB bio-radar, facilitating improvement in the practical performance and effectiveness of the UWB bio-radar search and rescue system. The test of the micromoving volunteer is carried out to verify the algorithms ability to extract signs of the micromoving trapped person. Statistical results of SNCRs suggested that 1) the wind-swaying grass interference only generates serious influence on UWB radar respiration within a close distance (<2m), and it will lead to detection mistakes with negative SNCRs, as shown in Figure 13A; 2) within the range of the radar main lobe, the influencing strength of the wind-swaying grass interference on UWB radar detection is highly related to the interference distance in the detection window. Keywords: environmental interference, ultra-wideband bio-radar, respiration detection, interference distance, interference angle, Citation: Ma T, Qi F, Yu X, Jiao T, Lv H and Wang J (2023) Study on the environmental effect on human being detection using the UWB bio-radar. Soc. A UWB radar signal processing platform for real-time human respiratory feature extraction based on four-segment linear waveform model. 58, 61386151. Novelty of the radar lies in its large operational bandwidth (11.7GHz at -10dB level) combined with high time stability. Because of the movement of the micromovement trapped person, the results of respiration and heartbeat rates have a larger error. Abstract: In this paper is described UWB radar for detection and positioning of human beings presented behind the wall or any nonmetallic obstacles. UWB radars are used for different applications such as the detection and classification of aircrafts, collision avoidance, detection of a target, or the heart and respiration rate of a human. 9, 260. doi:10.3390/rs9030260, Qi, F., Lv, H., Wang, J., and Fathy, A. E. (2020). The influencing effect decreases and SNCRs increase with the interference angle increasing at any specific interference distance. Entropy 18, 306. doi:10.3390/e18080306, Qi, F., Liang, F., Liu, M., Lv, H., Wang, P., Xue, H., et al. Conceptualization: HL and JW; methodology: TM and FQ; formal analysis: XY; investigation: TJ; data curation: XY; writingoriginal draft preparation: FQ; writingreview and editing: FQ; supervision: HL and JW; funding acquisition: JW. Characterization and identification of IR-UWB respiratory-motion response of trapped victims. J. Li, Z. Zeng, J. Activity Classif. Syst. A Multi-Target Detection Method Based on Improved U-Net for UWB MIMO (A, B) Preprocessed radar echo, (C, D) Distance-frequency matrix, (E, F) Normalized power-distance distribution matrix. In the process of respiration and heartbeat, the contraction and relaxation of muscles cause the cyclical fluctuations of the chest cavity, which are approximately sinusoidal. 1986 ).Living persons can be detected via extracting the cardiopulmonary signals which can make living persons detected remotely. With the assumption that the environment is static and the thoracic cavity of the trapped person moves periodically, this movement is manifested in a time-varying channel impulse response: Kernel PCA feature extraction and the SVM classification - SpringerOpen Ultra-wideband (UWB) multiple-input multiple-output (MIMO) through-wall radar is widely used in through-wall human target detection for its good penetration characteristics and resolution. FIGURE 10. The variance of the slow-time slice can reflect the degree of deviation between the slice and its mean, and the variance of the ideal static clutter slow time slice is 0. This work was supported by the National Key R&D Program of China (2021YFC1200104), the National Natural Science Foundation of China (Grant No. UWB and 60 GHz Radar Technology for Vital Sign Monitoring - Springer The final SNCRs generated from the D-P spectrum are 35.63 and 102dB, implying that the interference influenced the detection performance to some extent under these conditions but did not lead to detection mistakes. The first kind of interference involves the surrounding movement interference (SMI) in the site environment, such as grass swayed by wind and UWB radar operator movements. A. The inability of an automotive radar to distinguish humans from other targets was compensated with Doppler radar based detection. Experimental scene of the stationary trapped person. where and are the amplitude changes of the thoracic cavity caused by respiration and heartbeat, respectively; is the trapped person respiration rate, is the heartbeat rate, and is the slow time. J. H. Zhou, Y. C. Wang, J. P. Tong, S. Y. Zhou, and X. F. Wu, Ultra wide band radar gait recognition based on slow-time segmentation, Journal of Zhejiang University (Engineering Science), vol. UWB radar for human being detection [same as "UWB radar for human being Copyright 2023 Ma, Qi, Yu, Jiao, Lv and Wang. Human detection from behind a wall is a modern problem that is now being studied. 10791083, 2012. In the first 2s, select starting points equally in the reference window and search backward in the slow-time direction with 2s as the step length. Sun, and F. Liu, Through-wall detection of human beings movement by UWB radar, Geoscience and Remote Sensing Letters, vol. However, compared with the extraction results of a single slice, the relative errors of respiratory and heartbeat rate extraction results of this algorithm are reduced by 1.82% and 7.3%, respectively. In view of the above noise characteristics, the following preprocessing methods are adopted. 36, no. Chapter First Online: 19 September 2021 898 Accesses Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 787) Abstract This chapter presents recent developments and state-of-the-art techniques for ultra-wideband (UWB) and mmWave technologies for non-invasive monitoring, classification, and sensing applications. Top. Moreover, for both kinds of interferences, the angle and distance between the detecting target and the interference source are two considerable factors when investigating the influencing characteristics and laws of interference. Its operating frequency is 400470MHz, overlapping the frequency band of the UWB bio-radar, and its duration time is 10s per set of data. The vital sign information which most clearly represents the trapped person is selected using times extraction of strong vital signs; then, the respiration and heartbeat rates are extracted. Then, discrete the received signals and store it in the matrix : 8, pp. doi:10.1109/tgrs.2014.2309141, Nanzer, J. S. Dai, F. Zhu, Y. Y. Xu, and G. Y. Fang, Vital signal detection method based on principal component analysis and empirical mode decomposition for ultra wideband radar, Acta Electronica Sinica, vol. The patients/participants provided their written informed consent to participate in this study. We used data . bio-medical Eng. J. Li, L. Liu, Z. Zeng, and F. Liu, Advanced signal processing for vital sign extraction with applications in UWB radar detection of trapped victims in complex environments, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. Multi-target/multi-sensor tracking using only range and Doppler measurements. In this letter, we apply the UWB radar system in through-wall human detection and present the methods based on fast Fourier transform and S transform to detect and identify the human's life characteristic. According to the layout of the experimental site, the location distributions of interference sources are as shown in Figure 3, and every kind of interference experiments at every position are repeated 10 times for further analysis and statistics. Ultra-Wideband Radar-Based Indoor Activity Monitoring for Elderly Care UWB radar for human being detection [same as "UWB radar for human being Detection of respiratory movement of a person in laboratory conditions has been demonstrated. 26, no. 9, 125140. is for the average. The operating frequency of a GPS signal ranges from 1,230 to 1,570MHz, and the civil radio frequency usually ranges from 70 to 110MHz. According to the five SNCR curves (0,4590,135,and180) shown in Figure 13A and two SNCR curves (2m,4m) shown in Figure 13B, the interference effect decreased and SNCRs increased with the interference angle increasing from 0 to 180 at any specific distance. All groups of data with SMI (wind-swaying grass) were processed based on the same process, and the SNCRs were also analyzed and compared, as shown in Figure 13.