MATLAB模型用于模拟低速率图像传输形式下气象图像的发送和接收

Hu Mijia, Liu Linfeng, V. Shulgin
{"title":"MATLAB模型用于模拟低速率图像传输形式下气象图像的发送和接收","authors":"Hu Mijia, Liu Linfeng, V. Shulgin","doi":"10.1109/ELNANO.2017.7939802","DOIUrl":null,"url":null,"abstract":"Developing and studying modern radio systems is hardly possible without the creation and research of their mathematical models. This paper discusses a complete MATLAB model, including the formation, transmission and reception of the Earth's surface and atmosphere images, obtained by low-orbit meteorological satellites in the digital low-rate picture transmission (LRPT) format. Using models enables us to simplify and accelerate the development, and study of methods and algorithms for digital transmission and reception of satellite images, without installing antennas, hardware of receiving and computer software for direct reception of the satellite signals. The model contains the following procedures: forming the original image data, compressing them using a modified Joint Photographic Experts Group (JPEG) algorithm, forming digital packets, encoding them with Reed-Solomon code, scrambling and convolutional encoding, performing Quadrature Phase Shift Keying (QPSK) modulation and transmitting over a channel with interference. In the receiving part of the model, QPSK demodulation is realized, along with all necessary operations for successive decoding, decompression, and restoration of the image.","PeriodicalId":333746,"journal":{"name":"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"MATLAB model for simulating transmission and reception of meteorological images in the low-rate picture transmission forma\",\"authors\":\"Hu Mijia, Liu Linfeng, V. Shulgin\",\"doi\":\"10.1109/ELNANO.2017.7939802\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Developing and studying modern radio systems is hardly possible without the creation and research of their mathematical models. This paper discusses a complete MATLAB model, including the formation, transmission and reception of the Earth's surface and atmosphere images, obtained by low-orbit meteorological satellites in the digital low-rate picture transmission (LRPT) format. Using models enables us to simplify and accelerate the development, and study of methods and algorithms for digital transmission and reception of satellite images, without installing antennas, hardware of receiving and computer software for direct reception of the satellite signals. The model contains the following procedures: forming the original image data, compressing them using a modified Joint Photographic Experts Group (JPEG) algorithm, forming digital packets, encoding them with Reed-Solomon code, scrambling and convolutional encoding, performing Quadrature Phase Shift Keying (QPSK) modulation and transmitting over a channel with interference. In the receiving part of the model, QPSK demodulation is realized, along with all necessary operations for successive decoding, decompression, and restoration of the image.\",\"PeriodicalId\":333746,\"journal\":{\"name\":\"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELNANO.2017.7939802\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELNANO.2017.7939802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

发展和研究现代无线电系统离不开数学模型的建立和研究。本文讨论了一个完整的MATLAB模型,包括低轨道气象卫星以数字低速率图像传输(LRPT)格式获取的地球表面和大气图像的形成、传输和接收。利用模型可以简化和加快卫星图像数字传输和接收方法和算法的开发和研究,而不需要安装天线、接收硬件和直接接收卫星信号的计算机软件。该模型包括以下步骤:形成原始图像数据,使用改进的联合摄影专家组(JPEG)算法对其进行压缩,形成数字数据包,使用里德-所罗门码进行编码,加扰和卷积编码,进行正交相移键控(QPSK)调制并在有干扰的信道上传输。在模型的接收部分,实现了QPSK解调,并进行了图像连续解码、解压缩和恢复的所有必要操作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MATLAB model for simulating transmission and reception of meteorological images in the low-rate picture transmission forma
Developing and studying modern radio systems is hardly possible without the creation and research of their mathematical models. This paper discusses a complete MATLAB model, including the formation, transmission and reception of the Earth's surface and atmosphere images, obtained by low-orbit meteorological satellites in the digital low-rate picture transmission (LRPT) format. Using models enables us to simplify and accelerate the development, and study of methods and algorithms for digital transmission and reception of satellite images, without installing antennas, hardware of receiving and computer software for direct reception of the satellite signals. The model contains the following procedures: forming the original image data, compressing them using a modified Joint Photographic Experts Group (JPEG) algorithm, forming digital packets, encoding them with Reed-Solomon code, scrambling and convolutional encoding, performing Quadrature Phase Shift Keying (QPSK) modulation and transmitting over a channel with interference. In the receiving part of the model, QPSK demodulation is realized, along with all necessary operations for successive decoding, decompression, and restoration of the image.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信