{"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}
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.