2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)最新文献

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A Low-Profile, Gain-Enhancement, Compact Lens for UHF Archimedean Spiral Antenna 一种用于超高频阿基米德螺旋天线的低轮廓、增益增强、紧凑型透镜
Man Luo, Xiangyuan Sang, Wei Ge, Zhao Zhang, Zhenghui Peng, Juan Chen
{"title":"A Low-Profile, Gain-Enhancement, Compact Lens for UHF Archimedean Spiral Antenna","authors":"Man Luo, Xiangyuan Sang, Wei Ge, Zhao Zhang, Zhenghui Peng, Juan Chen","doi":"10.1109/ICEICT.2019.8846436","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846436","url":null,"abstract":"A compact lens for UHF Archimedean spiral antenna is presented in this paper. The focusing lens, which size is $0.4lambda _{0}$*$0.4lambda _{0}$*$0.006lambda _{0}$, can find significant gain enhancement by 4. 87dB at 300MHz without affecting the return loss of the antenna, located in the distance of 60mm($0.06lambda _{0}$) ahead of the antenna. Once the optimum dimensions of the lens is obtained, it is possible to change the number of grooves and permittivity of the material to increase the gain of the UHF antenna at other frequencies.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125277501","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
Design of Ultrathin Five-band Polarization Insensitive Metamaterial Absorbers 超薄五波段偏振不敏感超材料吸波器设计
Aixia Wang, Shao-bo Qu, Hui-li Dai, Gai-ping Zhang, Wenjie Wang, Mingbao Yan
{"title":"Design of Ultrathin Five-band Polarization Insensitive Metamaterial Absorbers","authors":"Aixia Wang, Shao-bo Qu, Hui-li Dai, Gai-ping Zhang, Wenjie Wang, Mingbao Yan","doi":"10.1109/ICEICT.2019.8846323","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846323","url":null,"abstract":"A five-band metamaterial absorber (MA) composed of L-shaped and slanting-bar resonators in the top layer, a dielectric layer in the middle and a metallic plate in the bottom is proposed in this paper. Its absorption performance is simulated and studied. Numerical results show that the MA has five distinctive absorption peaks with high absorbance under normal incidence. The loss properties and field distributions are studied to demonstrate the absorption mechanism. Moreover, the MA is ultra-thin and polarization insensitive, and thus be useful in most practical applications.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116616547","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: 3
Fast and Reftned Radar Processing For Maneuvering Target via Two-stage Integration Detection 基于两级集成检测的机动目标快速改进雷达处理
Xiaolong Chen, Xiaohan Yu, Hao Ding, Yonghua Xue, J. Guan
{"title":"Fast and Reftned Radar Processing For Maneuvering Target via Two-stage Integration Detection","authors":"Xiaolong Chen, Xiaohan Yu, Hao Ding, Yonghua Xue, J. Guan","doi":"10.1109/ICEICT.2019.8846391","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846391","url":null,"abstract":"Reliable and fast detection of maneuvering target in complex background is important for both civilian and military applications. It is rather difficult due to the complex motion resulting in energy spread in time and frequency domain. Also, high detection performance and computational efficiency are difficult to balance in case of more integration pulses. In this paper, we propose a fast and refined processing method of radar maneuvering target based on hierarchical integration detection, utilizing the advantages of moving target detection (MTD), fractional Fourier transform (FRFT) and fractional ambiguity function (FRAF). The method adopts two-stage threshold processing. The first stage is the coarse detection processing screening out the range units having possible moving targets. The second stage is called the refined processing, which uses FRFT or FRAF for coherent integration dealing with high-order motions, i.e., accelerated or jerk motion. And the second stage is carried out only within the rangebins after the first stage. Therefore, the amount of calculation can be greatly reduced while ensuring high detection performance. Finally, real radar data are used for verification of the proposed method, which shows better performance than the traditional MTD method with higher integration gain.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121116445","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
ICEICT 2019 Author Index ICEICT 2019作者索引
{"title":"ICEICT 2019 Author Index","authors":"","doi":"10.1109/iceict.2019.8846389","DOIUrl":"https://doi.org/10.1109/iceict.2019.8846389","url":null,"abstract":"","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116433632","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
Recursive Kernel MPE Loss Algorithm 递归核MPE损耗算法
Wentao Ma, Jinzhe Qiu
{"title":"Recursive Kernel MPE Loss Algorithm","authors":"Wentao Ma, Jinzhe Qiu","doi":"10.1109/ICEICT.2019.8846256","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846256","url":null,"abstract":"Kernel mean p-power error (KMPE) as a robust learning loss has been successfully employed to design robust PCA and ELM. This paper proposes a novel recursive adaptive filtering algorithm via the KMPE loss to identify linear system parameters under non-Gaussian noise cases. To derive the recursive KMPE algorithm, a KMPE loss with a forgetting factor is given first, and then the gradient method is employed to derive a recursive form of the weight estimation with a gain matrix for the system. Numerical simulation results demonstrate that the proposed algorithm with a suitable p value can obtain higher steady-state accuracy and faster convergence rate compared with some other existing algorithms.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132609783","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
Deep Learning-based Automatic Modulation Recognition Algorithm in Internet of Things 物联网中基于深度学习的自动调制识别算法
Yu Wang, Guan Gui, Hao Huang, Jie Wang, Yue Yin, Tian Zhou, Yu Zhao, Hong Sheng, Xiaomei Zhu
{"title":"Deep Learning-based Automatic Modulation Recognition Algorithm in Internet of Things","authors":"Yu Wang, Guan Gui, Hao Huang, Jie Wang, Yue Yin, Tian Zhou, Yu Zhao, Hong Sheng, Xiaomei Zhu","doi":"10.1109/ICEICT.2019.8846277","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846277","url":null,"abstract":"Automatic modulation recognition (AMR) is one of the most promising topics in internet of things (IoT), which endows the capability of adaptive modulation to adapt various complicate environment. This paper proposes a deep learning-based method to distinguish frequency shift keying (FSK), phase shift keying (PSK) and quadrature amplitude modulation (QAM) with high accuracy. We train convolution neural network (CNN) on amplitude and phase (AP) samples, which are two-dimension matrices consisting of amplitudes and phases extracted from complex-valued baseband signals. The performance of our proposed method is confirmed in both light-of-sight (LOS) and non-light-of-sight (NLOS) channel. In addition, considering that IoT devices may not have powerful computing and sufficient power, it is proposed that the application of AP samples with appropriate dimension for CNN training can reduce consumed power of IoT devices with maintaining algorithm performances.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"405 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134194619","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: 2
A Novel SVPWM Control Strategy for Dual Inverter System to Eliminate Common Mode Voltage with High Modulation 双逆变器系统中一种消除高调制共模电压的新型SVPWM控制策略
Junxiong Wang, Hongchen Liu
{"title":"A Novel SVPWM Control Strategy for Dual Inverter System to Eliminate Common Mode Voltage with High Modulation","authors":"Junxiong Wang, Hongchen Liu","doi":"10.1109/ICEICT.2019.8846313","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846313","url":null,"abstract":"In this paper, a novel SVPWM scheme to suppress common mode voltage for open-end winding induction motor (OEW-induction motor) drive is presented. Compared to other general three-level inverter configurations, the control strategy of this dual two-level inverter structure is more flexible. But with a single dc power supply in the OEW-induction motor drive system, many negative effects will be brought due to the presence of common mode voltage, such as causing circulating current in the winding and reducing system reliability. Owing to elimination the negative effect of the common mode voltage, one way is to synthesize the reference voltage with the switching combinations which do not produce common model voltage. However, the maximum modulation will greatly be reduced with these switching combinations being used. In order to maintain the maximum modulation while the common mode voltage is suppressed, a novel SVPWM scheme for this structure has been proposed. It is illustrated that the average of common mode voltage of the system is suppressed in each sampling-time interval by adjusting the placement of voltage space vectors and reasonable voltage selection. In addition the switching frequency of this novel control strategy for dual two-level inverter system is equal to the traditional SVPWM control strategy, and it has a significant improvement of the maximum linear modulation index. The proposed modulation control strategy has been verified by the simulation on a MATLAB platform.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130090703","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
Pose-based Gait Cycle Detection 基于姿态的步态周期检测
Qing Shen, Chang Tian, Lin Du
{"title":"Pose-based Gait Cycle Detection","authors":"Qing Shen, Chang Tian, Lin Du","doi":"10.1109/ICEICT.2019.8846361","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846361","url":null,"abstract":"For video-based pedestrian re-identification, spatial and temporal alignment is very important. It is helpful to find the most discriminative part of the video. Spatial alignment is commonly used to address these issues by treating the appearance of different body parts independently. In this paper, we pay attention to the temporal alignment problem. In the previous approaches, temporal alignment usually achieved in a gait cycle. That means the gait cycle detection is the first step. We proposed a posed-based method to detect the gait cycle, which could obtain prominent and accurate gait cycle. Particularly, giving a video sequence we take advantage of the latest pose estimation network to get the human skeleton, as well as the position of the key points. Then the distance of two ankles is calculated. By the variation of distance with the sequence, we could get the accurate gait cycle. It is helpful for the video-based pedestrian re-identification.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114633676","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
Research on Differences of Prediction Models Related to Land Mobile Communication 陆地移动通信相关预测模型差异研究
Chao Li, Xianzhi Zhang, Yi Liu
{"title":"Research on Differences of Prediction Models Related to Land Mobile Communication","authors":"Chao Li, Xianzhi Zhang, Yi Liu","doi":"10.1109/ICEICT.2019.8846413","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846413","url":null,"abstract":"When the model of land mobile communication is used to predict the propagation loss, there are many models which can be applied to the same frequency band, How to determine the model closest to the actual propagation conditions is a problem that must be solved. In this paper, through the actual test of propagation loss, the comparison verifies several propagation models such as okumura-hata, ITU-R P.529-3, ITU-R P. 1546, etc., and obtains the optimal model applicable to the prediction of transmission loss in the measured region.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"204 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948099","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
Improved Cooperative Spectrum Sensing Scheme Using Truncated SPRT in Internet of Things 物联网中基于截断SPRT的改进协同频谱感知方案
Shihao Gao, Ningbo Zhang, Guixia Kang
{"title":"Improved Cooperative Spectrum Sensing Scheme Using Truncated SPRT in Internet of Things","authors":"Shihao Gao, Ningbo Zhang, Guixia Kang","doi":"10.1109/ICEICT.2019.8846326","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846326","url":null,"abstract":"The key technique of cognitive radio(CR) is spectrum sensing. It shows that the cooperative spectrum sensing(CSS) can improve the detection probability. However, in the CSS of high real-time scene of internet of things(IoT), sensing and reporting period cannot be neglected, which leads to the high latency and low throughput. In this paper, we consider an improved CSS scheme, where each cognitive node employs the multi-taper sensing method(MTM) on every collected observation vector and performs truncated sequential probability ratio test (T-SPRT) on MTM results. Theoretical analysis and expressions for latency and throughput are derived based on the designed frame structure. Simulation results demonstrate that the proposed scheme decreases sensing latency and improves throughput with high detection probability.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125948794","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: 3
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