Junjun Xiong, Hongqiang Zhang, Hong Hong, Heng Zhao, Xiaohua Zhu, Changzhi Li
{"title":"Multi-target Vital Signs Detection Using SIMO Continuous-wave Radar with DBF Technique","authors":"Junjun Xiong, Hongqiang Zhang, Hong Hong, Heng Zhao, Xiaohua Zhu, Changzhi Li","doi":"10.1109/RWS45077.2020.9050054","DOIUrl":"https://doi.org/10.1109/RWS45077.2020.9050054","url":null,"abstract":"In this paper, a single-input multiple-output (SIMO) CW radar with digital beam forming (DBF) technique is presented to achieve multi-target vital signs detection. The developed system utilizes eight antennas to capture the reflected signals. Then, the DBF technique is applied to steer the beam towards the subject of interest. As a result, other subjects’ signals can be suppressed. Finally, the time domain vital signs waveform of each subject is obtained. The experimental results show good detection accuracy compared with the reference sensor, which demonstrates the feasibility of the developed system for multi-target vital signs detection.","PeriodicalId":184822,"journal":{"name":"2020 IEEE Radio and Wireless Symposium (RWS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115576661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Antenna Pattern Measurement with Compressive Phase Retrieval","authors":"M. Don, G. Arce","doi":"10.1109/RWS45077.2020.9050117","DOIUrl":"https://doi.org/10.1109/RWS45077.2020.9050117","url":null,"abstract":"Modern wireless communications is placing ever greater demands on the system’s antenna. But high-resolution, wide-band antenna radiation pattern (APR) measurement remains a slow, expensive process that can hinder research, development, and production. Previous research has shown that ARP measurement is an ideal candidate for compressive sensing, which can significantly accelerate measurement by reducing the number samples needed for pattern recovery. This paper extends this research by using compressive phase retrieval to recover full magnitude and phase patterns from magnitude measurements alone, eliminating expensive phase measurements.","PeriodicalId":184822,"journal":{"name":"2020 IEEE Radio and Wireless Symposium (RWS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121654760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Compact-Range RCS Measurements and Modeling of Small Drones at 15 GHz and 25 GHz","authors":"Martins Ezuma, Mark Funderburk, Ismail Güvenç","doi":"10.1109/RWS45077.2020.9050049","DOIUrl":"https://doi.org/10.1109/RWS45077.2020.9050049","url":null,"abstract":"The knowledge of the radar signature of aerial targets, such as drones, is critical in designing an effective radar detection system. It is a challenging task to measure the radar cross-section (RCS) of small drones. This paper describes a compact-range approach for measuring the RCS of small drones at 15 GHz and 25 GHz. The measurement results show that the average RCS of the three small drones varies with the radar frequency with higher reflections observed around certain directions. Moreover, the results show that for each drone, the RCS at 25 GHz is higher than the RCS at 15 GHz. Besides, information-theoretical based model selection for the RCS data is carried using the Akaike information criterion (AIC). We find that the generalized extreme value distribution is a good fit for modeling the RCS of small drones.","PeriodicalId":184822,"journal":{"name":"2020 IEEE Radio and Wireless Symposium (RWS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134352291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"28 GHz mmWave Channel Measurements and Modeling in a Library Environment","authors":"F. Erden, Ö. Özdemir, Ismail Güvenç","doi":"10.1109/RWS45077.2020.9050106","DOIUrl":"https://doi.org/10.1109/RWS45077.2020.9050106","url":null,"abstract":"To fully exploit the millimeter-wave bands for the fifth generation cellular systems, an accurate understanding of the channel propagation characteristics is required, and hence extensive measurement campaigns in different environments are needed. In this paper, we use a rotated directional antenna-based channel sounder for measurements at 28 GHz in large indoor environments at a library setting. We present models for power angular-delay profile and large-scale path loss based on the measurements over distances ranging from 10 m to 50 m. In total, nineteen different line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios are considered, including the cases where the transmitter and the receiver are placed on different floors. Results show that the close-in free space reference distance and the floating intercept path loss models both perform well in fitting the empirical data. The path loss exponent obtained for the LOS scenarios is found to be very close to that of the free space path loss model.","PeriodicalId":184822,"journal":{"name":"2020 IEEE Radio and Wireless Symposium (RWS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121561845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Bandwidth Allocation in Small-Cell Networks: An Economics Approach","authors":"Lin Cheng, Bernardo A. Huberman","doi":"10.1109/RWS45077.2020.9050131","DOIUrl":"https://doi.org/10.1109/RWS45077.2020.9050131","url":null,"abstract":"We propose and experimentally demonstrate a bandwidth allocation method based on the comparative advantage of spectral efficiency among users in a multi-tone small-cell radio access system with frequency-selective fading channels. The method allocates frequency resources by ranking the comparative advantage of the spectrum measured at the receivers ends. It improves the overall spectral efficiency of the access system with low implementation complexity and independently of power loading. In a two-user wireless transmission experiment, we observe up to 23.1% average capacity improvement by using the proposed method.","PeriodicalId":184822,"journal":{"name":"2020 IEEE Radio and Wireless Symposium (RWS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131264861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}