Omkar Pradhan;Ahmed Soliman;Alan B. Tanner;Akim Babenko;Pekka Kangaslahti;Shannon T. Brown
{"title":"宽带数字微波辐射计基于音调的闪烁噪声抑制技术","authors":"Omkar Pradhan;Ahmed Soliman;Alan B. Tanner;Akim Babenko;Pekka Kangaslahti;Shannon T. Brown","doi":"10.1109/LGRS.2025.3596542","DOIUrl":null,"url":null,"abstract":"High-frequency microwave radiometers with low-noise amplifier (LNA) front-ends commonly suffer from gain instability, or so-called “flicker” noise. This noise has a <inline-formula> <tex-math>$1/f$ </tex-math></inline-formula> energy spectrum and hence is also commonly referred to as <inline-formula> <tex-math>$1/f$ </tex-math></inline-formula> noise. The effect of this noise on a passive instrument is to degrade its sensitivity and introduce postprocessing calibration errors such as “striping.” In this letter, we present a <inline-formula> <tex-math>$1/f$ </tex-math></inline-formula> noise mitigation technique using a combination of single-frequency tone injection and high spectral resolution digital signal detection. This technique can be used in radiometers with sufficient information redundancy so that a limited portion of the detected signal spectrum can be dedicated to noise mitigation. A key requirement of implementing this technique is application specific integrated circuit (ASIC) or field programmable gate array (FPGA)-based spectral decomposition of the radio-frequency energy. A proof-of-concept hardware setup and signal processing steps required to implement such a technique are presented in this letter. Measurements presented here show a reduction up to <inline-formula> <tex-math>$87~\\%$ </tex-math></inline-formula> in <inline-formula> <tex-math>$1/f$ </tex-math></inline-formula> noise energy using this technique and are applicable to airborne and ground-based instruments.","PeriodicalId":91017,"journal":{"name":"IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society","volume":"22 ","pages":"1-4"},"PeriodicalIF":4.4000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Tone-Based Flicker Noise Mitigation Technique for Broadband Digital Microwave Radiometers\",\"authors\":\"Omkar Pradhan;Ahmed Soliman;Alan B. Tanner;Akim Babenko;Pekka Kangaslahti;Shannon T. Brown\",\"doi\":\"10.1109/LGRS.2025.3596542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High-frequency microwave radiometers with low-noise amplifier (LNA) front-ends commonly suffer from gain instability, or so-called “flicker” noise. This noise has a <inline-formula> <tex-math>$1/f$ </tex-math></inline-formula> energy spectrum and hence is also commonly referred to as <inline-formula> <tex-math>$1/f$ </tex-math></inline-formula> noise. The effect of this noise on a passive instrument is to degrade its sensitivity and introduce postprocessing calibration errors such as “striping.” In this letter, we present a <inline-formula> <tex-math>$1/f$ </tex-math></inline-formula> noise mitigation technique using a combination of single-frequency tone injection and high spectral resolution digital signal detection. This technique can be used in radiometers with sufficient information redundancy so that a limited portion of the detected signal spectrum can be dedicated to noise mitigation. A key requirement of implementing this technique is application specific integrated circuit (ASIC) or field programmable gate array (FPGA)-based spectral decomposition of the radio-frequency energy. A proof-of-concept hardware setup and signal processing steps required to implement such a technique are presented in this letter. Measurements presented here show a reduction up to <inline-formula> <tex-math>$87~\\\\%$ </tex-math></inline-formula> in <inline-formula> <tex-math>$1/f$ </tex-math></inline-formula> noise energy using this technique and are applicable to airborne and ground-based instruments.\",\"PeriodicalId\":91017,\"journal\":{\"name\":\"IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society\",\"volume\":\"22 \",\"pages\":\"1-4\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11131526/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11131526/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Tone-Based Flicker Noise Mitigation Technique for Broadband Digital Microwave Radiometers
High-frequency microwave radiometers with low-noise amplifier (LNA) front-ends commonly suffer from gain instability, or so-called “flicker” noise. This noise has a $1/f$ energy spectrum and hence is also commonly referred to as $1/f$ noise. The effect of this noise on a passive instrument is to degrade its sensitivity and introduce postprocessing calibration errors such as “striping.” In this letter, we present a $1/f$ noise mitigation technique using a combination of single-frequency tone injection and high spectral resolution digital signal detection. This technique can be used in radiometers with sufficient information redundancy so that a limited portion of the detected signal spectrum can be dedicated to noise mitigation. A key requirement of implementing this technique is application specific integrated circuit (ASIC) or field programmable gate array (FPGA)-based spectral decomposition of the radio-frequency energy. A proof-of-concept hardware setup and signal processing steps required to implement such a technique are presented in this letter. Measurements presented here show a reduction up to $87~\%$ in $1/f$ noise energy using this technique and are applicable to airborne and ground-based instruments.