SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data

Sidharth Misra; Joel Johnson; Mustafa Aksoy; Jinzheng Peng; Damon Bradley; Ian O'Dwyer; Sharmila Padmanabhan; Douglas Dawson; Seth Chazanoff; Barron Latham; Todd Gaier; Caroline Flores-Helizon; Richard Denning

doi:10.1109/IGARSS.2013.6721087

SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data

Sidharth Misra
, Joel Johnson
, Mustafa Aksoy
, Jinzheng Peng
, Damon Bradley
, Ian O'Dwyer
, Sharmila Padmanabhan
, Douglas Dawson
, Seth Chazanoff
, Barron Latham
, Todd Gaier
, Caroline Flores-Helizon
, Richard Denning

Electrical & Computer Engineering

University at Albany

California Institute of Technology
Ohio State University
Morgan State University
NASA Goddard Space Flight Center

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

10 Scopus citations

Abstract

The SMAP RFI detecting digital backend performance is characterized using real-environment L-band RFI data from the SMAPVEX 2012 campaign. Various types of RFI signals are extracted from the airborne campaign dataset and fed to the SMAP radiometer using an Arbitrary Waveform Generator (AWG). The backend detection performance is tested, and missed-detections are further investigated. Initial results indicate RFI detection performance for the SMAP digital backend is acceptable.

Original language	English
Title of host publication	2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	41-44
Number of pages	4
ISBN (Print)	9781479911141
DOIs	https://doi.org/10.1109/IGARSS.2013.6721087
State	Published - 2013
Event	33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia Duration: Jul 21 2013 → Jul 26 2013

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/Territory	Australia
City	Melbourne, VIC
Period	07/21/13 → 07/26/13

Keywords

Microwave radiometer
SMAP
radio frequency interference

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10.1109/IGARSS.2013.6721087

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Misra, S., Johnson, J., Aksoy, M., Peng, J., Bradley, D., O'Dwyer, I., Padmanabhan, S., Dawson, D., Chazanoff, S., Latham, B., Gaier, T., Flores-Helizon, C., & Denning, R. (2013). SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings (pp. 41-44). Article 6721087 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2013.6721087

Misra, Sidharth ; Johnson, Joel ; Aksoy, Mustafa et al. / SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data. 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2013. pp. 41-44 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{56448fc5a5204dde9b57780db6b1d195,

title = "SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data",

abstract = "The SMAP RFI detecting digital backend performance is characterized using real-environment L-band RFI data from the SMAPVEX 2012 campaign. Various types of RFI signals are extracted from the airborne campaign dataset and fed to the SMAP radiometer using an Arbitrary Waveform Generator (AWG). The backend detection performance is tested, and missed-detections are further investigated. Initial results indicate RFI detection performance for the SMAP digital backend is acceptable.",

keywords = "Microwave radiometer, SMAP, radio frequency interference",

author = "Sidharth Misra and Joel Johnson and Mustafa Aksoy and Jinzheng Peng and Damon Bradley and Ian O'Dwyer and Sharmila Padmanabhan and Douglas Dawson and Seth Chazanoff and Barron Latham and Todd Gaier and Caroline Flores-Helizon and Richard Denning",

year = "2013",

doi = "10.1109/IGARSS.2013.6721087",

language = "English",

isbn = "9781479911141",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "41--44",

booktitle = "2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings",

note = "33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 ; Conference date: 21-07-2013 Through 26-07-2013",

}

Misra, S, Johnson, J, Aksoy, M, Peng, J, Bradley, D, O'Dwyer, I, Padmanabhan, S, Dawson, D, Chazanoff, S, Latham, B, Gaier, T, Flores-Helizon, C & Denning, R 2013, SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data. in 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings., 6721087, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 41-44, 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, VIC, Australia, 07/21/13. https://doi.org/10.1109/IGARSS.2013.6721087

SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data. / Misra, Sidharth; Johnson, Joel; Aksoy, Mustafa et al.
2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2013. p. 41-44 6721087 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

TY - GEN

T1 - SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data

AU - Misra, Sidharth

AU - Johnson, Joel

AU - Aksoy, Mustafa

AU - Peng, Jinzheng

AU - Bradley, Damon

AU - O'Dwyer, Ian

AU - Padmanabhan, Sharmila

AU - Dawson, Douglas

AU - Chazanoff, Seth

AU - Latham, Barron

AU - Gaier, Todd

AU - Flores-Helizon, Caroline

AU - Denning, Richard

PY - 2013

Y1 - 2013

N2 - The SMAP RFI detecting digital backend performance is characterized using real-environment L-band RFI data from the SMAPVEX 2012 campaign. Various types of RFI signals are extracted from the airborne campaign dataset and fed to the SMAP radiometer using an Arbitrary Waveform Generator (AWG). The backend detection performance is tested, and missed-detections are further investigated. Initial results indicate RFI detection performance for the SMAP digital backend is acceptable.

AB - The SMAP RFI detecting digital backend performance is characterized using real-environment L-band RFI data from the SMAPVEX 2012 campaign. Various types of RFI signals are extracted from the airborne campaign dataset and fed to the SMAP radiometer using an Arbitrary Waveform Generator (AWG). The backend detection performance is tested, and missed-detections are further investigated. Initial results indicate RFI detection performance for the SMAP digital backend is acceptable.

KW - Microwave radiometer

KW - SMAP

KW - radio frequency interference

UR - https://www.scopus.com/pages/publications/84894274269

U2 - 10.1109/IGARSS.2013.6721087

DO - 10.1109/IGARSS.2013.6721087

M3 - Conference contribution

SN - 9781479911141

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 41

EP - 44

BT - 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013

Y2 - 21 July 2013 through 26 July 2013

ER -

Misra S, Johnson J, Aksoy M, Peng J, Bradley D, O'Dwyer I et al. SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2013. p. 41-44. 6721087. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2013.6721087

SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data

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Keywords

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