{"title":"微波成像系统信噪比评估","authors":"J. McCombe, N. Nikolova","doi":"10.1109/APS.2014.6904406","DOIUrl":null,"url":null,"abstract":"A method to assess the signal-to-noise ratio (SNR) of microwave imaging acquisition systems is proposed. The method can be used to automatically discriminate between high- and low-quality responses acquired with a given setup or to compare acquisition hardware. The approach uses the measurements of a known calibration object, which are often available from the calibration of the microwave acquisition system.","PeriodicalId":6663,"journal":{"name":"2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)","volume":"2 1","pages":"149-150"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"SNR assessment of microwave imaging systems\",\"authors\":\"J. McCombe, N. Nikolova\",\"doi\":\"10.1109/APS.2014.6904406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method to assess the signal-to-noise ratio (SNR) of microwave imaging acquisition systems is proposed. The method can be used to automatically discriminate between high- and low-quality responses acquired with a given setup or to compare acquisition hardware. The approach uses the measurements of a known calibration object, which are often available from the calibration of the microwave acquisition system.\",\"PeriodicalId\":6663,\"journal\":{\"name\":\"2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)\",\"volume\":\"2 1\",\"pages\":\"149-150\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APS.2014.6904406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Antennas and Propagation Society International Symposium (APSURSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APS.2014.6904406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method to assess the signal-to-noise ratio (SNR) of microwave imaging acquisition systems is proposed. The method can be used to automatically discriminate between high- and low-quality responses acquired with a given setup or to compare acquisition hardware. The approach uses the measurements of a known calibration object, which are often available from the calibration of the microwave acquisition system.
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