2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)最新文献_第4页

A Novel Imaging Algorithm Based on Keystone Transform for Heliborne Forward-moving RoSAR System 一种基于Keystone变换的机载前移RoSAR成像算法

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334300

Wen-Jun Li, G. Liao, Jingwei Xu

{"title":"A Novel Imaging Algorithm Based on Keystone Transform for Heliborne Forward-moving RoSAR System","authors":"Wen-Jun Li, G. Liao, Jingwei Xu","doi":"10.1109/ICEICT51264.2020.9334300","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334300","url":null,"abstract":"This paper deals with the issue of high-resolution imaging with the Heliborne forward-moving rotary synthetic aperture radar (RoSAR) system. RoSAR is a new type of SAR system, which uses the rotation of radar antenna to obtain azimuth synthetic aperture. In the forward RoSAR imaging geometric model, there is not only the azimuth velocity of antenna scanning but also the forward velocity of the platform. Therefore, the variation of target slant distance process reflects more complex spatial variation characteristics in the spectrum of the echo signal. A modified imaging algorithm based on the Keystone transforms is proposed for the Heliborne forward RoSAR system. With the forward-moving RoSAR imaging configuration, the relationship between the platform forward movement and the space-variant characteristics of the spectrum is given to construct the corresponding phase compensation function. A modified second-order keystone transform is used to correct the space-variant range cell migration term, meanwhile, the range-variant distortion in azimuth is removed by using the Chirp Z transform. Interpolation is not involved in this proposed algorithm, and its feasibility is verified by the simulation experiments.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130235486","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

Robust Direction-of-Arrival Estimation via Sparse Representation and Deep Residual Convolutional Network for Co-Prime Arrays 基于稀疏表示和深度残差卷积网络的共素数阵列鲁棒到达方向估计

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334293

Ying Chen, Kun-lai Xiong, Zhitao Huang

{"title":"Robust Direction-of-Arrival Estimation via Sparse Representation and Deep Residual Convolutional Network for Co-Prime Arrays","authors":"Ying Chen, Kun-lai Xiong, Zhitao Huang","doi":"10.1109/ICEICT51264.2020.9334293","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334293","url":null,"abstract":"Co-prime arrays can achieve higher degrees-of-freedom (DOF) with far fewer sensors. State-of-the-art mod-el-driven DOA estimation methods for co-prime arrays face challenges in practical applications because of pre-assumption dependencies. In this paper, we propose a spatial spectrum recovery method based on deep residual convolutional network (DRCN) for effective DOA estimation with a co-prime array. First, a pseudo spectrum is constructed via the observation vector and the extended array manifold matrix of the virtual array. Then, a deep learning framework with residual blocks is proposed to directly learn the mapping from the pseudo spectrum to the super resolution spectrum. The learning-based method enhances the generalization of untrained scenarios and robustness to non-ideal conditions, e.g., small angle separations, small snapshots, low SNRs and imperfect arrays, which makes up for the defects of previous model-driven methods. Simulations are carried out to validate the superior performance of the proposed method, particularly when the deviation of the array manifold matrix is significant.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131676783","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

Design of Frequency Selective Radome Based on Truss Structure 基于桁架结构的选频天线罩设计

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334289

H. Shan, Jiahe Mei, Kangkang Gao, Xin Wang, Jiangnan Xing, T. Jiang

{"title":"Design of Frequency Selective Radome Based on Truss Structure","authors":"H. Shan, Jiahe Mei, Kangkang Gao, Xin Wang, Jiangnan Xing, T. Jiang","doi":"10.1109/ICEICT51264.2020.9334289","DOIUrl":"https://doi.org/10.1109/ICEICT51264.2020.9334289","url":null,"abstract":"With the continuous development of science and technology, more and more attention has been paid to the adaptability of radar equipment in complex electromagnetic environment. Due to the bad natural environment and external electromagnetic interference, the normal operation of electronic equipment is not ideal. The radome with good compression performance and filtering ability is one of the effective ways to solve the above problems. In this paper, a kind of frequency selective radome based on truss structure is studied. It can not only protect the antenna structure physically, but also has high transmission performance to the electromagnetic wave in the working frequency band of the antenna. It can effectively eliminate the out of band interference of the receiver system and purify the working environment of the equipment. According to the working frequency of the expected electromagnetic wave and the second and third harmonic frequency radiated by the surrounding interference equipment, the equivalent circuit method is used to design the frequency selection unit structure, and the CST electromagnetic simulation software is used to combine the frequency selection unit with the truss structure to design the frequency selective unit structure with specific band pass and stop band characteristics, so that the electromagnetic equipment to be protected radiated electricity The magnetic wave is in the pass-band range of frequency selective surface, and other electromagnetic interference in the surrounding environment is in its stop-band range. The frequency selective radome designed in this paper has spatial filtering performance, high specific strength and high specific stiffness. It can purify the electromagnetic environment around the expected electronic equipment and enhance the adaptability of the electromagnetic environment.","PeriodicalId":124337,"journal":{"name":"2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126867843","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

A Wideband Omni-directional Antenna Based on Printed Log-Periodic Element 基于打印对数周期元件的宽带全向天线

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334317

Liangying Li, Wei Yan, Botao Feng, L. Deng

引用次数: 2

Refined Signal Model of Meter Wave Radar for Height Measurement Under Complex Terrain 复杂地形条件下米波雷达测高精信号模型

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334246

Yuwei Song, Guoping Hu, Guimei Zheng

引用次数: 1

A Method for Space TT&C Resources Scheduling Based on Auction Mechanism 基于拍卖机制的空间测控资源调度方法

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334273

Bai Jian, Guan Xiaosong, Pan Hongze, Li Anliang, Li Yuanyuan, Yang Zixing

引用次数: 1

Energy and Width Features-Based SVM for Vehicles Classification Using Low Power Consumption Radar 基于能量和宽度特征的支持向量机低功耗雷达车辆分类

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334245

H. Liang, Zhaocheng Yang, Fengyuan Shi, Ruimin Yang

引用次数: 1

Ray-Tracing Based Multi-Frequency Large-Scale Channel Characterization for Indoor Millimeter Wave Communications 基于光线追踪的室内毫米波通信多频大通道特性研究

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334243

Yu Zhou, Yuan Dong, Yuanyuan Liu, Xiangqian Sun

引用次数: 1

Efficient Suppression of Average Sidelobe Level for Millimeter-Wave Antenna Array by Using Iterative FFT 利用迭代FFT有效抑制毫米波天线阵平均旁瓣电平

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334344

Yin Rui, Jingjing Bai, Zhenan Bao, Yanhui Liu

引用次数: 0

Real-Valued DOA Estimation for Impulsive Noise 脉冲噪声的实值DOA估计

2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2020-11-13 DOI: 10.1109/ICEICT51264.2020.9334241

Mengya Guo, Hekun Shang, Zheng Cao

引用次数: 0