2022 Photonics & Electromagnetics Research Symposium (PIERS)最新文献_第4页

A Broadband Low Profile Transmitarray Based on SIW Structures 基于SIW结构的宽带低轮廓发射阵列

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9793259

Ye Dong, Xinyu Wu, Wenhao Li, Y. Ren, Yihao Yang, J. Huangfu, Long Li, Rui Xi, Hongsheng Chen, Bin Zheng

引用次数: 0

Pseudo-Random Sequence (PRS) Space-time-modulated Metasurfaces: General Concept and Fundamental Operations 伪随机序列时空调制元曲面:一般概念和基本操作

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9792801

Xiaoyi Wang, C. Caloz

{"title":"Pseudo-Random Sequence (PRS) Space-time-modulated Metasurfaces: General Concept and Fundamental Operations","authors":"Xiaoyi Wang, C. Caloz","doi":"10.1109/piers55526.2022.9792801","DOIUrl":"https://doi.org/10.1109/piers55526.2022.9792801","url":null,"abstract":"This paper presents the general concept and fundamental operations of a new class of space-time-modulated metasurfaces, viz., space-time metasurfaces modulated by PseudoRandom Sequence (PRS) waveforms. The metasurfaces may be either purely PRS time-modulated or space-time-modulated by a set of orthogonal PRSs. The PRSs are quasi-random periodic sequences with binary values (±1) and exhibit noise-like wideband spectra. The metasurfaces are assumed to operate in the slow time modulation regime, where the time-variance and frequency-dispersion effects are safely decoupled. In this regime, the bit duration of the PRS is much larger than the transient time associated with temporal dispersion, i.e., than the time for the metasurface to reach the steady regimes in each modulation state. PRS space-time-modulated metasurfaces provide many functionalities that complement those of their deterministic-modulation counterparts. In contrast to these metasurfaces, they massively transform the temporal spectrum of the incident waves, hence providing novel encoding and decoding capabilities. The resulting metasurfaces can perform fundamental operations such as spectrum spreading, interference suppression, and row/cell selection, which are described in detail and which lead to applications such as electromagnetic stealth, secure communication, direction of arrival estimation, and spatial multiplexing.","PeriodicalId":422383,"journal":{"name":"2022 Photonics & Electromagnetics Research Symposium (PIERS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129604941","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}

引用次数: 1

Analysis of Extrinsic Chirality in Layer by Layer Structures Distributed in Non-planar Unit-cell Arrangements at Microwave Frequencies 微波频率下非平面单胞排列层间结构的外部手性分析

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9793223

O. Fernández, J. B. Yamoun, A. Gómez

引用次数: 0

Self-supervised Human Pose Recovery for Through-wall Radar Based on Convolutional Neural Networks 基于卷积神经网络的穿壁雷达自监督人体姿态恢复

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9793087

Zhijie Zheng, S. Ye, Guangyou Fang

{"title":"Self-supervised Human Pose Recovery for Through-wall Radar Based on Convolutional Neural Networks","authors":"Zhijie Zheng, S. Ye, Guangyou Fang","doi":"10.1109/piers55526.2022.9793087","DOIUrl":"https://doi.org/10.1109/piers55526.2022.9793087","url":null,"abstract":"Through-wall radar (TWR) can penetrate through non-metallic occlusions and detect hidden human targets. Nonetheless, because of its low imaging spatial resolution, most of the current methods can only obtain the low-level human detecting information from the TWR signals, for example, the human trunk positions. More complex human information, such as complete pose outline, has remained intractable. In this paper, a novel self-supervised human pose recovery method for TWR based on convolutional neural networks (CNNs) is proposed. We adopt a self-supervised teacher-student learning pipeline for the method. During training, we attach a camera to the radar to simultaneously collect pairs of RGB images and TWR signals. A vision-based pretrained teacher network extracts human pose information from RGB images and generates the human outline masks as pseudo labels. A student network learns to extract the patterns in corresponding TWR signals and predicts the masks that are close to the labels above. There is no external supervision in the training process, so it is unnecessary to label the dataset manually. After training, the method can recover accurate human pose just from TWR signals. The experiments are conducted in two different scenarios. In a scenario without wall occlusion, we collected synchronized radar signals and images for method training and accuracy evaluation. The quantitative results show comparable predictions with the state-of-the-art methods in non-wallocclusive scenarios. In a wall-occlusive scenario, we solely collect radar signals for generalization evaluation. The accurate qualitative predictions show complete human pose recovery with wall occlusions.","PeriodicalId":422383,"journal":{"name":"2022 Photonics & Electromagnetics Research Symposium (PIERS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130134103","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}

引用次数: 0

W-band Frequency-Polarization-Diverse Metasurface Antenna for Coincidence Imaging 用于符合成像的w波段频偏分异超表面天线

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9792695

Mengyao Tao, Mengran Zhao, Ningning Zhou, Shitao Zhu

{"title":"W-band Frequency-Polarization-Diverse Metasurface Antenna for Coincidence Imaging","authors":"Mengyao Tao, Mengran Zhao, Ningning Zhou, Shitao Zhu","doi":"10.1109/piers55526.2022.9792695","DOIUrl":"https://doi.org/10.1109/piers55526.2022.9792695","url":null,"abstract":"A W-band frequency-polarization-diverse metasurface antenna (FPDMA) that can be used for coincidence imaging is proposed in this paper. Diverse radiation patterns can be generated by the FPDMA in both the frequency-domain and the polarization-domain, which can be used as different measurement modes in the coincidence imaging system. The working frequency of the FPDMA is extended to the W-band (76 GHz-81 GHz) to obtain higher resolution. The FPDMA is composed of a feeding module and a phase-random-modulation metasurface. The feeding module is a disordered-cavity, which can generate different internal field distributions at different working frequencies. The frequency-diverse feature of the field distribution would be inherited by the coupling slots and passed on to the radiation patterns of the FPDMA. The phase-random-modulation metasurface contains a variety of different metamaterial elements with different transmission phases and diverse polarization characteristics, which could generate polarization-diverse radiation patterns when excited by electromagnetic waves with different polarization. Therefore, when the disordered-cavity and the metasurface work together, radiation patterns show a dual sensitivity in both the frequency-domain and the polarization-domain. Performances of the FPDMA including the reflection coefficient $(S_{11})$, the radiation efficiency and correlation coefficients of radiation patterns generated under different conditions are evaluated through simulations. A simulated coincidence imaging experiment using the proposed FPDMA is also carried out and the target image is reconstructed successfully. The design is validated through simulated results.","PeriodicalId":422383,"journal":{"name":"2022 Photonics & Electromagnetics Research Symposium (PIERS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128901524","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}

引用次数: 0

Precipitation Inversion from MWHTS Data Using Tensorflow Framework 基于Tensorflow框架的MWHTS降水反演

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9792999

Kang Liu, Jieying He, Haonan Chen

引用次数: 0

Satellite Passive Microwave Sea Ice Concentration Retrieval Errors over the Russian Arctic Seas 俄罗斯北极海域卫星无源微波海冰浓度反演误差

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9793299

E. Zabolotskikh, M. A. Zhivotovskaya, E. Balashova, E. Lvova, B. Chapron

引用次数: 0

Prediction of Quality Attributes of Fresh Unpasteurized Milk Using Dielectric Spectroscopy Coupled to Chemometric Tools 利用介电光谱耦合化学计量工具预测新鲜未经巴氏消毒的牛奶的品质属性

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9792687

T. Chuquizuta, Y. Colunche, M. Rubio, J. Oblitas, H. Arteaga, W. Castro

{"title":"Prediction of Quality Attributes of Fresh Unpasteurized Milk Using Dielectric Spectroscopy Coupled to Chemometric Tools","authors":"T. Chuquizuta, Y. Colunche, M. Rubio, J. Oblitas, H. Arteaga, W. Castro","doi":"10.1109/piers55526.2022.9792687","DOIUrl":"https://doi.org/10.1109/piers55526.2022.9792687","url":null,"abstract":"The objective of this research is to predict the quality attributes of fresh unpasteurized milk using dielectric spectroscopy coupled to chemometric tools. For the fulfillment of the purpose, we have worked with fresh unpasteurized milk of the Brown Swiss breed, obtained from the “La lechera” stable; dilutions of water — fresh milk were obtained, from 70 to 100% at $25^{circ}mathrm{C}$, followed by the physicochemical characterization (density, total solids, freezing point, fatty solids, proteins and added water) and dielectric properties in the range of 0.5 to 9 GHz using an open ended coaxial probe (N1501A-001), connected to a Vector Network Analyzer, model N9915A-Keysight Technologies. Likewise, the partial least squares regression was used to correlate the physicochemical properties with the dielectric properties; the results obtained in the prediction of freezing point, proteins, fatty solids and added water from fresh milk unpasteurized have presented a coefficient of determination and a mean square error in the range of [0.95-0.98] and [2$.57times 10^{-7}-7.46times 10^{-2}]$ respectively. Consequently, it is concluded that the technique of dielectric spectroscopy and machine learning presents potential for prediction of physicochemical characteristics of fresh milk unpasteurized, being able to be implemented in the production lines to quickly and reliably evaluate the quality of cow’s milk.","PeriodicalId":422383,"journal":{"name":"2022 Photonics & Electromagnetics Research Symposium (PIERS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129309242","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}

引用次数: 0

Quantifying the Hydrometeorological Impacts of Lowering Operational Weather Radar Scan Elevation Angle 降低业务气象雷达扫描仰角对水文气象影响的量化

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9792753

Liang-yu Wang, Haonan Chen

{"title":"Quantifying the Hydrometeorological Impacts of Lowering Operational Weather Radar Scan Elevation Angle","authors":"Liang-yu Wang, Haonan Chen","doi":"10.1109/piers55526.2022.9792753","DOIUrl":"https://doi.org/10.1109/piers55526.2022.9792753","url":null,"abstract":"The operational Weather Surveillance Radar-1988 Doppler (WSR-88D) network forms the cornerstones of the national weather and climate observation infrastructure, to support forecast and warning operations, as well as aviation safety and flood mitigation systems. The current regulations limit the lowest elevation angle used by WSR-88D to 0.5°, i.e., one-half the antenna beamwidth. However, due to the Earth’s curvature and terrain blockage, more than 70% of the atmosphere below 1 km above ground level cannot be observed, especially when it is far from the radar stations. Unfortunately, that is where most severe weather hazards occur such as floods and tornadoes. Radar hydrometeorology observations and subsequent precipitation estimates will be closer to the ground if they are obtained at lower heights. Recently, the National Weather Service (NWS) has initiated a prototype demonstration of lowering the WSR-88D scan elevation angle to 0° or even lower. The KMUX WSR-88D radar in California is one of the first radar stations that have executed the lower elevation angle scan. Using the KMUX radar as an example, this study quantifies the hydrometeorological impacts of lowering WSR-88D scan elevation angle. In particular, the distribution of polarimetric radar measurements at 0° and 0.5° elevation angles are investigated to highlight the hydrometeor characteristics, especially when the 0.5° beam is shooting or overshooting the melting layer while the 0° beam is observing liquid precipitation regions close to the ground. The enhanced rainfall microphysical structures brought by the 0° scans are investigated to reveal the changes of precipitation during the falling processes. In addition, enhanced radar rainfall algorithms for local application in the San Francisco Bay Area are derived based on raindrop size distribution data, and the enhanced algorithms are compared with operational radar rainfall relations adopted by the WSR-88D systems.","PeriodicalId":422383,"journal":{"name":"2022 Photonics & Electromagnetics Research Symposium (PIERS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128866312","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}

引用次数: 0

An RF I/Q Sample Data Set Acquisition Method Based on Environmental Characteristic Parameters 基于环境特征参数的射频I/Q样本数据集采集方法

2022 Photonics & Electromagnetics Research Symposium (PIERS) Pub Date : 2022-04-25 DOI: 10.1109/piers55526.2022.9793282

Ran Chen, Zhenjia Chen

{"title":"An RF I/Q Sample Data Set Acquisition Method Based on Environmental Characteristic Parameters","authors":"Ran Chen, Zhenjia Chen","doi":"10.1109/piers55526.2022.9793282","DOIUrl":"https://doi.org/10.1109/piers55526.2022.9793282","url":null,"abstract":"In the field of electromagnetic spectrum, research on radio monitoring methods can help to improve the management and control of electromagnetic spectrum resources. At present, the commonly used methods based on energy detection can scan the target frequency band in a wide frequency range to quickly monitor the utilization and distribution of electromagnetic spectrum resources. The traditional radio monitoring method is detecting the energy data of the target frequency band, which can only represent the final result of the antenna segment and has a little effect on the distribution characteristics of the electromagnetic spectrum. With the rapid development of wireless communication technology and the increasing number and type of radio frequency equipment, the difficulty of managing electromagnetic spectrum resources is also increasing. The electromagnetic spectrum detection methods have gradually been received attention, which are based on radio frequency I/Q sample data. In this paper, a new electromagnetic spectrum detection method named as an RF I/Q sample data set acquisition method based on environmental characteristic parameters which collect the original RF I/Q sample data to improve the detection probability is described. The RF I/Q sample data is the original data of the current electromagnetic spectrum after the wireless signal has undergone environmental propagation loss which contains all the information of the wireless signal in the target frequency band and can be used for subsequent signal analysis and research. Data sets based on RF I/Q samples can improve the ability to manage and control electromagnetic spectrum resources by using radio monitoring methods. The theoretical Results prove that the performance of An RF I/Q sample data set acquisition method based on environmental characteristic parameters is better compared to energy detection method alone.","PeriodicalId":422383,"journal":{"name":"2022 Photonics & Electromagnetics Research Symposium (PIERS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126819722","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}

引用次数: 0