Real-Time RFI Processor for the Next Generation Satellite Radiometers

Janne Lahtinen, Arhippa Kovanen, Kari Lehtinen, Steen Savstrup Kristensen, Sten Schmidl Søbjærg, Niels Skou, Salvatore D'Addio

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Anthropogenic Radio Frequency Interference (RFI) within radiometer bands is a serious problem in passive microwave remote sensing. Since this problem is ever-increasing, the next generation satellite radiometers will require efficient methods to mitigate the effects of RFI. In this paper, we present one solution: a spaceborne RFI processor to detect and blank the RFI in real time. The processor was designed to be compatible with the Microwave Imager (MWI) instrument, 18.7 GHz channel, onboard the European MetOp Second Generation satellite system. The developed RFI processor applies the following detection algorithms: (1) anomalous amplitude detection, (2) kurtosis, and (3) cross-frequency. In the processing, the data are divided into sub-samples in time and frequency with fine resolution. The RFI processor can detect and filter out RFI with this fine resolution in real time and then integrate the clean (non-contaminated) subsamples over time and frequency. Thus, a cleaned version of the radiometer data can be downlinked at traditional low data rate. The processing is implemented in a reprogrammable FPGA with high processing capacity, which provides high flexibility. The applied processing bandwidth is 200 MHz (+ 25 MHz transition bands at both sides). The measured performance of the RFI processor corresponds to the simulations and good overall detection capability has been achieved for narrow-band RFI. The power consumption of the RFI processor is approx.12 W (at room temperature) and the mass is approx. 1 kg.
Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)
PublisherIEEE
Publication date2018
Pages71-76
ISBN (Electronic)978-1-5386-5015-8
DOIs
Publication statusPublished - 2018
Event15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) - Cambridge, United States
Duration: 27 Mar 201830 Mar 2018

Conference

Conference15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)
CountryUnited States
CityCambridge
Period27/03/201830/03/2018

Keywords

  • Interference suppression
  • Radiometry
  • Remote sensing
  • Signal analysis
  • Signal processing

Cite this

Lahtinen, J., Kovanen, A., Lehtinen, K., Kristensen, S. S., Søbjærg, S. S., Skou, N., & D'Addio, S. (2018). Real-Time RFI Processor for the Next Generation Satellite Radiometers. In Proceedings of the 2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) (pp. 71-76). IEEE. https://doi.org/10.1109/MICRORAD.2018.8430725
Lahtinen, Janne ; Kovanen, Arhippa ; Lehtinen, Kari ; Kristensen, Steen Savstrup ; Søbjærg, Sten Schmidl ; Skou, Niels ; D'Addio, Salvatore . / Real-Time RFI Processor for the Next Generation Satellite Radiometers. Proceedings of the 2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad). IEEE, 2018. pp. 71-76
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title = "Real-Time RFI Processor for the Next Generation Satellite Radiometers",
abstract = "Anthropogenic Radio Frequency Interference (RFI) within radiometer bands is a serious problem in passive microwave remote sensing. Since this problem is ever-increasing, the next generation satellite radiometers will require efficient methods to mitigate the effects of RFI. In this paper, we present one solution: a spaceborne RFI processor to detect and blank the RFI in real time. The processor was designed to be compatible with the Microwave Imager (MWI) instrument, 18.7 GHz channel, onboard the European MetOp Second Generation satellite system. The developed RFI processor applies the following detection algorithms: (1) anomalous amplitude detection, (2) kurtosis, and (3) cross-frequency. In the processing, the data are divided into sub-samples in time and frequency with fine resolution. The RFI processor can detect and filter out RFI with this fine resolution in real time and then integrate the clean (non-contaminated) subsamples over time and frequency. Thus, a cleaned version of the radiometer data can be downlinked at traditional low data rate. The processing is implemented in a reprogrammable FPGA with high processing capacity, which provides high flexibility. The applied processing bandwidth is 200 MHz (+ 25 MHz transition bands at both sides). The measured performance of the RFI processor corresponds to the simulations and good overall detection capability has been achieved for narrow-band RFI. The power consumption of the RFI processor is approx.12 W (at room temperature) and the mass is approx. 1 kg.",
keywords = "Interference suppression, Radiometry, Remote sensing, Signal analysis, Signal processing",
author = "Janne Lahtinen and Arhippa Kovanen and Kari Lehtinen and Kristensen, {Steen Savstrup} and S{\o}bj{\ae}rg, {Sten Schmidl} and Niels Skou and Salvatore D'Addio",
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Lahtinen, J, Kovanen, A, Lehtinen, K, Kristensen, SS, Søbjærg, SS, Skou, N & D'Addio, S 2018, Real-Time RFI Processor for the Next Generation Satellite Radiometers. in Proceedings of the 2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad). IEEE, pp. 71-76, 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), Cambridge, United States, 27/03/2018. https://doi.org/10.1109/MICRORAD.2018.8430725

Real-Time RFI Processor for the Next Generation Satellite Radiometers. / Lahtinen, Janne; Kovanen, Arhippa; Lehtinen, Kari ; Kristensen, Steen Savstrup; Søbjærg, Sten Schmidl; Skou, Niels; D'Addio, Salvatore .

Proceedings of the 2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad). IEEE, 2018. p. 71-76.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Real-Time RFI Processor for the Next Generation Satellite Radiometers

AU - Lahtinen, Janne

AU - Kovanen, Arhippa

AU - Lehtinen, Kari

AU - Kristensen, Steen Savstrup

AU - Søbjærg, Sten Schmidl

AU - Skou, Niels

AU - D'Addio, Salvatore

PY - 2018

Y1 - 2018

N2 - Anthropogenic Radio Frequency Interference (RFI) within radiometer bands is a serious problem in passive microwave remote sensing. Since this problem is ever-increasing, the next generation satellite radiometers will require efficient methods to mitigate the effects of RFI. In this paper, we present one solution: a spaceborne RFI processor to detect and blank the RFI in real time. The processor was designed to be compatible with the Microwave Imager (MWI) instrument, 18.7 GHz channel, onboard the European MetOp Second Generation satellite system. The developed RFI processor applies the following detection algorithms: (1) anomalous amplitude detection, (2) kurtosis, and (3) cross-frequency. In the processing, the data are divided into sub-samples in time and frequency with fine resolution. The RFI processor can detect and filter out RFI with this fine resolution in real time and then integrate the clean (non-contaminated) subsamples over time and frequency. Thus, a cleaned version of the radiometer data can be downlinked at traditional low data rate. The processing is implemented in a reprogrammable FPGA with high processing capacity, which provides high flexibility. The applied processing bandwidth is 200 MHz (+ 25 MHz transition bands at both sides). The measured performance of the RFI processor corresponds to the simulations and good overall detection capability has been achieved for narrow-band RFI. The power consumption of the RFI processor is approx.12 W (at room temperature) and the mass is approx. 1 kg.

AB - Anthropogenic Radio Frequency Interference (RFI) within radiometer bands is a serious problem in passive microwave remote sensing. Since this problem is ever-increasing, the next generation satellite radiometers will require efficient methods to mitigate the effects of RFI. In this paper, we present one solution: a spaceborne RFI processor to detect and blank the RFI in real time. The processor was designed to be compatible with the Microwave Imager (MWI) instrument, 18.7 GHz channel, onboard the European MetOp Second Generation satellite system. The developed RFI processor applies the following detection algorithms: (1) anomalous amplitude detection, (2) kurtosis, and (3) cross-frequency. In the processing, the data are divided into sub-samples in time and frequency with fine resolution. The RFI processor can detect and filter out RFI with this fine resolution in real time and then integrate the clean (non-contaminated) subsamples over time and frequency. Thus, a cleaned version of the radiometer data can be downlinked at traditional low data rate. The processing is implemented in a reprogrammable FPGA with high processing capacity, which provides high flexibility. The applied processing bandwidth is 200 MHz (+ 25 MHz transition bands at both sides). The measured performance of the RFI processor corresponds to the simulations and good overall detection capability has been achieved for narrow-band RFI. The power consumption of the RFI processor is approx.12 W (at room temperature) and the mass is approx. 1 kg.

KW - Interference suppression

KW - Radiometry

KW - Remote sensing

KW - Signal analysis

KW - Signal processing

U2 - 10.1109/MICRORAD.2018.8430725

DO - 10.1109/MICRORAD.2018.8430725

M3 - Article in proceedings

SP - 71

EP - 76

BT - Proceedings of the 2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)

PB - IEEE

ER -

Lahtinen J, Kovanen A, Lehtinen K, Kristensen SS, Søbjærg SS, Skou N et al. Real-Time RFI Processor for the Next Generation Satellite Radiometers. In Proceedings of the 2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad). IEEE. 2018. p. 71-76 https://doi.org/10.1109/MICRORAD.2018.8430725