2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)最新文献_第9页

Multiband Radar Signal Phase Reference Synthesis Based on Matrix Pencil Method 基于矩阵笔法的多波段雷达信号相位参考合成

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482320

Shuo Zhang, Jun Yang, Pengcheng Ge, Tingting Feng, Yu Du, Haohao Jiang

{"title":"Multiband Radar Signal Phase Reference Synthesis Based on Matrix Pencil Method","authors":"Shuo Zhang, Jun Yang, Pengcheng Ge, Tingting Feng, Yu Du, Haohao Jiang","doi":"10.1109/IMCEC51613.2021.9482320","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482320","url":null,"abstract":"The multi-band signal phase reference fusion technique fuses several different sub-bands into one large bandwidth signal at the signal layer, so it can effectively improve the radar distance image resolution. Currently, most of the fusion techniques based on the full-pole model use root-MUSIC and its improved algorithm to achieve the estimation of the poles, and this method can obtain good fusion results at high signal-to-noise ratios. However, the root-MUSIC algorithm is susceptible to noise interference in low signal-to-noise conditions, which makes it difficult to extract the poles correctly and thus greatly affects the final effect of signal fusion. In order to reduce the influence of noise, we propose to use the averaging matrix bundle algorithm to achieve multi-band pole estimation, find out the linear phase term and compensate it, and use the coherence function method to find out the fixed phase term on this basis. Finally, the signal fusion is performed by combining the Matrix pencil method using the Two-segment echo data after alignment. The simulation experiments and the measured data show that the method effectively improves the multiband signal fusion effect at low signal-to-noise ratio, which verifies the feasibility of the method.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122920749","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

A Method Based on Quinn Algorithm to Improve The Accuracy of PMF-FFT Doppler Frequency Estimation 基于Quinn算法提高PMF-FFT多普勒频率估计精度的方法

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482369

Sun Xi-yan, Hu Xun-Xiong, Ji Yuan-fa, Guo Ning

{"title":"A Method Based on Quinn Algorithm to Improve The Accuracy of PMF-FFT Doppler Frequency Estimation","authors":"Sun Xi-yan, Hu Xun-Xiong, Ji Yuan-fa, Guo Ning","doi":"10.1109/IMCEC51613.2021.9482369","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482369","url":null,"abstract":"In the satellite positioning receiver, it is essential to capture the satellite signal and obtain the carrier and Doppler frequency. Whereas, there is a vital problem that the Doppler frequency offset of 100 kilohertz with the change rate of thousands of kilohertz per second under the high dynamic environment which has higher requirements on capture algorithm. Aiming at the Doppler frequency search efficiency of traditional PMF-FFT algorithm, this paper proposes a Quinn-PMF-FFT. Before estimating the Doppler frequency, there is double zero padding, the point of signal does 2N to fill after zero Fourier transform arithmetic, and makes the increase in the number of spectral signal spectrum in the main lobe, then gets more spectral information to modified of the peak position. It is also can obtain more accurate Doppler frequency estimation, and carry out the simulation experiment. Via comparing the mean square frequency error, it is verified that the Quinn-PMF-FFT algorithm can avoid the error of interpolation direction in high dynamic environment, and has higher search efficiency and estimation accuracy.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123868244","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

Public Opinion Analysis of Weibo Comments Based on Crawler and SVM 基于爬虫和支持向量机的微博评论舆情分析

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482219

Haohong Zhang, Shaohua Li, Jingying Feng, Yiduo Liang

引用次数: 0

E-Unet++: A Semantic Segmentation Method for Remote Sensing Images e - unet++:遥感图像的语义分割方法

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482266

Yintu Bao, Wei Liu, Ouyang Gao, Zhikang Lin, Q. Hu

引用次数: 3

Surveillance Personnel Behavior Analysis Technology based on Operation Log 基于操作日志的监控人员行为分析技术

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482033

Chuandong Lv, Yang Yang, Qiyue Sun, Bin Zhou, Peng Xu

引用次数: 0

Information modeling and redundant data processing of mechanical product configuration design 机械产品配置设计的信息建模与冗余数据处理

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482305

Binyuan Liu, Xuefeng Jin, Xinggang Wang

{"title":"Information modeling and redundant data processing of mechanical product configuration design","authors":"Binyuan Liu, Xuefeng Jin, Xinggang Wang","doi":"10.1109/IMCEC51613.2021.9482305","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482305","url":null,"abstract":"With the wide application and deep integration of Internet and other information technology and manufacturing enterprise information system, manufacturing big data with mass, high speed, diversity, value and other characteristics has been accumulated. According to the characteristics of mechanical product configuration design information in the big data environment, this paper studies the construction of product configuration design information model [1] and redundant data processing. The specific research contents are as follows: Based on the analysis of the sources and characteristics of mechanical product configuration design information big data, this paper puts forward a galaxy model suitable for mechanical product configuration design information, and integrates the information in product configuration design information into the galaxy model Structured data, unstructured data and semi-structured data are expressed as JSON [2] (JavaScript object notation) metadata; combined with the sensitivity and semantic similarity of keyword data source, the text similarity calculation method of JSON data file is proposed, and the redundant data processing of mechanical product configuration design information is realized.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131202565","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

Application of Workflow Technology in the Integrated Management Platform of Smart Park 工作流技术在智慧园区综合管理平台中的应用

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482103

Zhiyang Zhao, Xianxun Zhu, Xiong Wei, Xu Wang, Jiancun Zuo

引用次数: 2

Review of Dim Small Target Detection Algorithms in Single-frame Infrared Images 红外单帧图像中弱小目标检测算法研究进展

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482137

Ke Zhang, Shuyan Ni, DaShuang Yan, Aidi Zhang

引用次数: 7

A Review on Intrusion Drone Target Detection Based on Deep Learning 基于深度学习的入侵无人机目标检测研究进展

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482092

Rongqi Jiang, Yang Zhou, Yueping Peng

{"title":"A Review on Intrusion Drone Target Detection Based on Deep Learning","authors":"Rongqi Jiang, Yang Zhou, Yueping Peng","doi":"10.1109/IMCEC51613.2021.9482092","DOIUrl":"https://doi.org/10.1109/IMCEC51613.2021.9482092","url":null,"abstract":"In order to solve the problems of disrupting aviation order, stealing private information by the abuse of commercial small drones, even terrorist attacks caused by drones, many drone target detection algorithms based on deep learning have been proposed in recent years, but due to the lack of large-scale public datasets, most of the existing researches are based on self-made datasets, the algorithms lack comparative analysis. In this paper, we summarize and analyze the current research status of intrusion drone target detection based on deep learning. The paper summarizes the existing target detection algorithms based on deep learning, aiming at the problem that public drone target datasets are insufficient and difficult to obtain, it summarizes the currently publicly available drone datasets, then summarizes the intrusion drone target detection algorithms based on deep learning in recent years. Finally, the detection performance of some algorithms under different public datasets is compared, the difficulties in current research and direction of next research are analyzed.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129897320","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

Design and realization of acupoint tapping massage system with three degrees of freedom based on STM32 基于STM32的三自由度穴位轻敲按摩系统的设计与实现

2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2021-06-18 DOI: 10.1109/IMCEC51613.2021.9482084

Wenqing Zhu, Shuqun Wang

引用次数: 0