Demonstration of the Polarimetric Cross-Frequency Algorithm for RFI Detection and Filtering

Juha Kainulainen; Steen Savstrup Kristensen; Tapio  Saarinen; Josu Uusitalo; Sten Schmidl Søbjærg; Manuel Martin-Neira

doi:10.1109/IGARSS52108.2023.10281723

Demonstration of the Polarimetric Cross-Frequency Algorithm for RFI Detection and Filtering

Juha Kainulainen^*, Steen Savstrup Kristensen, Tapio Saarinen, Josu Uusitalo , Sten Schmidl Søbjærg, Manuel Martin-Neira

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

In this work we study and demonstrate the performance of a Radio Frequency Interference detection algorithm that is applicable to fully polarized Earth Observation radiometers. The proposed Polarimetric Cross Frequency algorithm is based on analysis of spectral deviation of the 3 rd and 4 th Stokes parameters calculated form the dual polarized input of a radiometer. We define the new algorithm, simulate its performance, compare it with other commonly used detection algorithms, and perform a demonstration with electronics that is designed against space radiometer requirements. The results of the work demonstrate that the detection performance of the proposed algorithm is better than reference algorithms in optimal conditions, however, it has weaknesses for certain signals. Therefore, in future systems our recommendation is to combine the proposed algorithm with other RFI detection algorithms.

Original language	English
Title of host publication	IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
Publisher	IEEE
Publication date	2023
Pages	5475-5478
ISBN (Electronic)	979-8-3503-2010-7
DOIs	https://doi.org/10.1109/IGARSS52108.2023.10281723
Publication status	Published - 2023
Event	2023 IEEE International Geoscience and Remote Sensing Symposium - Pasadena Convention Center, Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023 Conference number: 43

Conference

Conference	2023 IEEE International Geoscience and Remote Sensing Symposium
Number	43
Location	Pasadena Convention Center
Country/Territory	United States
City	Pasadena
Period	16/07/2023 → 21/07/2023

Series	IEEE International Geoscience and Remote Sensing Symposium Proceedings
ISSN	2153-6996

Keywords

Radiometry
RFI
Signal processing
Earth observation
Interference detection
Cross frequency

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10.1109/IGARSS52108.2023.10281723

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@inproceedings{11218a10d327408a813f61a705719fce,

title = "Demonstration of the Polarimetric Cross-Frequency Algorithm for RFI Detection and Filtering",

abstract = "In this work we study and demonstrate the performance of a Radio Frequency Interference detection algorithm that is applicable to fully polarized Earth Observation radiometers. The proposed Polarimetric Cross Frequency algorithm is based on analysis of spectral deviation of the 3 rd and 4 th Stokes parameters calculated form the dual polarized input of a radiometer. We define the new algorithm, simulate its performance, compare it with other commonly used detection algorithms, and perform a demonstration with electronics that is designed against space radiometer requirements. The results of the work demonstrate that the detection performance of the proposed algorithm is better than reference algorithms in optimal conditions, however, it has weaknesses for certain signals. Therefore, in future systems our recommendation is to combine the proposed algorithm with other RFI detection algorithms.",

keywords = "Radiometry, RFI, Signal processing, Earth observation, Interference detection, Cross frequency",

author = "Juha Kainulainen and Kristensen, {Steen Savstrup} and Tapio Saarinen and Josu Uusitalo and S{\o}bj{\ae}rg, {Sten Schmidl} and Manuel Martin-Neira",

year = "2023",

doi = "10.1109/IGARSS52108.2023.10281723",

language = "English",

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booktitle = "IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium",

publisher = "IEEE",

address = "United States",

note = "2023 IEEE International Geoscience and Remote Sensing Symposium , IGARSS ; Conference date: 16-07-2023 Through 21-07-2023",

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Kainulainen, J, Kristensen, SS, Saarinen, T, Uusitalo , J, Søbjærg, SS & Martin-Neira, M 2023, Demonstration of the Polarimetric Cross-Frequency Algorithm for RFI Detection and Filtering. in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, IEEE International Geoscience and Remote Sensing Symposium Proceedings, pp. 5475-5478, 2023 IEEE International Geoscience and Remote Sensing Symposium , Pasadena, California, United States, 16/07/2023. https://doi.org/10.1109/IGARSS52108.2023.10281723

Demonstration of the Polarimetric Cross-Frequency Algorithm for RFI Detection and Filtering. / Kainulainen, Juha; Kristensen, Steen Savstrup; Saarinen, Tapio et al.
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. p. 5475-5478 (IEEE International Geoscience and Remote Sensing Symposium Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Kainulainen, Juha

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AU - Søbjærg, Sten Schmidl

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AB - In this work we study and demonstrate the performance of a Radio Frequency Interference detection algorithm that is applicable to fully polarized Earth Observation radiometers. The proposed Polarimetric Cross Frequency algorithm is based on analysis of spectral deviation of the 3 rd and 4 th Stokes parameters calculated form the dual polarized input of a radiometer. We define the new algorithm, simulate its performance, compare it with other commonly used detection algorithms, and perform a demonstration with electronics that is designed against space radiometer requirements. The results of the work demonstrate that the detection performance of the proposed algorithm is better than reference algorithms in optimal conditions, however, it has weaknesses for certain signals. Therefore, in future systems our recommendation is to combine the proposed algorithm with other RFI detection algorithms.

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Kainulainen J, Kristensen SS, Saarinen T, Uusitalo J, Søbjærg SS, Martin-Neira M. Demonstration of the Polarimetric Cross-Frequency Algorithm for RFI Detection and Filtering. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE. 2023. p. 5475-5478. (IEEE International Geoscience and Remote Sensing Symposium Proceedings). doi: 10.1109/IGARSS52108.2023.10281723

Demonstration of the Polarimetric Cross-Frequency Algorithm for RFI Detection and Filtering

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Keywords

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