{"title":"强度仅微波衍射层析成像使用802.15.4无线网络","authors":"Kenneth P. Hunt, D. R. Andersen","doi":"10.1109/EIT.2010.5612090","DOIUrl":null,"url":null,"abstract":"We present an improved method for reconstructing images from projection data gathered using 2.4GHz, IEEE 802.15.4 Direct Sequence Spread Spectrum (DSSS) radio signals. Projection data was gathered using received signal strength indicator (RSSI) data provided by a wireless ZigBee network. Previously the image was reconstructed using the inverse radon transform. We reconstruct the image using a simple algorithm developed for objects with a real index of refraction. This method provides improved image quality.","PeriodicalId":305049,"journal":{"name":"2010 IEEE International Conference on Electro/Information Technology","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intensity only microwave diffraction tomography using 802.15.4 wireless networks\",\"authors\":\"Kenneth P. Hunt, D. R. Andersen\",\"doi\":\"10.1109/EIT.2010.5612090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an improved method for reconstructing images from projection data gathered using 2.4GHz, IEEE 802.15.4 Direct Sequence Spread Spectrum (DSSS) radio signals. Projection data was gathered using received signal strength indicator (RSSI) data provided by a wireless ZigBee network. Previously the image was reconstructed using the inverse radon transform. We reconstruct the image using a simple algorithm developed for objects with a real index of refraction. This method provides improved image quality.\",\"PeriodicalId\":305049,\"journal\":{\"name\":\"2010 IEEE International Conference on Electro/Information Technology\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Conference on Electro/Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIT.2010.5612090\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Electro/Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIT.2010.5612090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intensity only microwave diffraction tomography using 802.15.4 wireless networks
We present an improved method for reconstructing images from projection data gathered using 2.4GHz, IEEE 802.15.4 Direct Sequence Spread Spectrum (DSSS) radio signals. Projection data was gathered using received signal strength indicator (RSSI) data provided by a wireless ZigBee network. Previously the image was reconstructed using the inverse radon transform. We reconstruct the image using a simple algorithm developed for objects with a real index of refraction. This method provides improved image quality.
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