{"title":"An L-band direct-sampling digital radiometer: design and performance evaluation","authors":"M. Fischman, A. England","doi":"10.1109/IGARSS.1999.773458","DOIUrl":null,"url":null,"abstract":"This paper examines the noise characteristics of a direct RF sampling receiver whose architecture is suitable for high resolution aperture synthesis radiometry. The authrs have designed a 1.4 GHz direct-sampling digital radiometer (DSDR) to verify the discrete-time statistical model of the receiver and to evaluate current analog-to-digital converter technology. Several tests characterize the dynamic range and noise-equivalent sensitivity (NE/spl Delta/T) caused by quantization, finite data sampling, and variations in signal bias. The results of a benchmark case study suggest that, with DSDR configured in a total power mode, a sensitivity of 0.2 K is attainable for Earth remote sensing applications like soil moisture retrieval.","PeriodicalId":169541,"journal":{"name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.1999.773458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper examines the noise characteristics of a direct RF sampling receiver whose architecture is suitable for high resolution aperture synthesis radiometry. The authrs have designed a 1.4 GHz direct-sampling digital radiometer (DSDR) to verify the discrete-time statistical model of the receiver and to evaluate current analog-to-digital converter technology. Several tests characterize the dynamic range and noise-equivalent sensitivity (NE/spl Delta/T) caused by quantization, finite data sampling, and variations in signal bias. The results of a benchmark case study suggest that, with DSDR configured in a total power mode, a sensitivity of 0.2 K is attainable for Earth remote sensing applications like soil moisture retrieval.