基于选定参考矩阵的编码孔径成像

Chen Wu, T. Jin, Yongpeng Dai, D. He, Peng You
{"title":"基于选定参考矩阵的编码孔径成像","authors":"Chen Wu, T. Jin, Yongpeng Dai, D. He, Peng You","doi":"10.1109/SAM48682.2020.9104352","DOIUrl":null,"url":null,"abstract":"In recent years, digital coding and programmable metamaterials have brought new ideas to the fields of communication, detection, and imaging. Optimizing the reference signal matrix to achieve fast, accurate radar imaging has great practical significance for environment detecting. We selected the reference matrix based on the correlation of the matrix, and simulated the impact on the imaging results. The results of the experiment will inspire us to achieve accurate target imaging with less measurements and promote the development of fast and real-time imaging.","PeriodicalId":6753,"journal":{"name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","volume":"3 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coded Aperture Imaging Based on Selected Reference Matrix\",\"authors\":\"Chen Wu, T. Jin, Yongpeng Dai, D. He, Peng You\",\"doi\":\"10.1109/SAM48682.2020.9104352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, digital coding and programmable metamaterials have brought new ideas to the fields of communication, detection, and imaging. Optimizing the reference signal matrix to achieve fast, accurate radar imaging has great practical significance for environment detecting. We selected the reference matrix based on the correlation of the matrix, and simulated the impact on the imaging results. The results of the experiment will inspire us to achieve accurate target imaging with less measurements and promote the development of fast and real-time imaging.\",\"PeriodicalId\":6753,\"journal\":{\"name\":\"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)\",\"volume\":\"3 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAM48682.2020.9104352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAM48682.2020.9104352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

近年来,数字编码和可编程超材料为通信、检测和成像领域带来了新的思路。优化参考信号矩阵,实现快速、准确的雷达成像,对环境检测具有重要的现实意义。我们根据矩阵的相关性选择参考矩阵,并模拟其对成像结果的影响。实验结果将启发我们以较少的测量量实现精确的目标成像,促进快速实时成像的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Coded Aperture Imaging Based on Selected Reference Matrix
In recent years, digital coding and programmable metamaterials have brought new ideas to the fields of communication, detection, and imaging. Optimizing the reference signal matrix to achieve fast, accurate radar imaging has great practical significance for environment detecting. We selected the reference matrix based on the correlation of the matrix, and simulated the impact on the imaging results. The results of the experiment will inspire us to achieve accurate target imaging with less measurements and promote the development of fast and real-time imaging.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
GPU-accelerated parallel optimization for sparse regularization Efficient Beamforming Training and Channel Estimation for mmWave MIMO-OFDM Systems Online Robust Reduced-Rank Regression Block Sparsity Based Chirp Transform for Modeling Marine Mammal Whistle Calls Deterministic Coherence-Based Performance Guarantee for Noisy Sparse Subspace Clustering using Greedy Neighbor Selection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1