Compressive sensing methods for radar cross section ISAR measurements

Christer Larsson

doi:10.1109/CoSeRa.2016.7745736

Compressive sensing methods for radar cross section ISAR measurements

Christer Larsson

Institutionen för elektro- och informationsteknik

SAAB AB

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

The compressive sensing algorithm BPDN applied to RCS ISAR measurements is investigated in this paper. It is used to acquire ISAR images from data sets that are incomplete if conventional back projection is used to process images. The aim of the study is to determine if the algorithm can be used to extract accurate RCS values for parts of the measured objects when there are azimuth angle gaps in the measured RCS data. It is determined that the method is limited by the noise level but accurate RCS levels can be determined even at relatively low signal to noise ratios.

Originalspråk	engelska
Titel på värdpublikation	2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	237-241
Antal sidor	5
ISBN (elektroniskt)	9781509029204
DOI	https://doi.org/10.1109/CoSeRa.2016.7745736
Status	Published - 2016 nov. 15
Evenemang	4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 - Aachen, Tyskland Varaktighet: 2016 sep. 19 → 2016 sep. 23

Konferens

Konferens	4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
Land/Territorium	Tyskland
Ort	Aachen
Period	2016/09/19 → 2016/09/23

Ämnesklassifikation (UKÄ)

Signalbehandling

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10.1109/CoSeRa.2016.7745736

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@inproceedings{fc73d94fbc854e478c63d9a27bb294f2,

title = "Compressive sensing methods for radar cross section ISAR measurements",

abstract = "The compressive sensing algorithm BPDN applied to RCS ISAR measurements is investigated in this paper. It is used to acquire ISAR images from data sets that are incomplete if conventional back projection is used to process images. The aim of the study is to determine if the algorithm can be used to extract accurate RCS values for parts of the measured objects when there are azimuth angle gaps in the measured RCS data. It is determined that the method is limited by the noise level but accurate RCS levels can be determined even at relatively low signal to noise ratios.",

author = "Christer Larsson",

year = "2016",

month = nov,

day = "15",

doi = "10.1109/CoSeRa.2016.7745736",

language = "English",

pages = "237--241",

booktitle = "2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016",

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

address = "United States",

note = "4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 ; Conference date: 19-09-2016 Through 23-09-2016",

}

Larsson, C 2016, Compressive sensing methods for radar cross section ISAR measurements. i 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016., 7745736, IEEE - Institute of Electrical and Electronics Engineers Inc., s. 237-241, 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016, Aachen, Tyskland, 2016/09/19. https://doi.org/10.1109/CoSeRa.2016.7745736

Compressive sensing methods for radar cross section ISAR measurements. / Larsson, Christer.
2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016. IEEE - Institute of Electrical and Electronics Engineers Inc., 2016. s. 237-241 7745736.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - Compressive sensing methods for radar cross section ISAR measurements

AU - Larsson, Christer

PY - 2016/11/15

Y1 - 2016/11/15

N2 - The compressive sensing algorithm BPDN applied to RCS ISAR measurements is investigated in this paper. It is used to acquire ISAR images from data sets that are incomplete if conventional back projection is used to process images. The aim of the study is to determine if the algorithm can be used to extract accurate RCS values for parts of the measured objects when there are azimuth angle gaps in the measured RCS data. It is determined that the method is limited by the noise level but accurate RCS levels can be determined even at relatively low signal to noise ratios.

AB - The compressive sensing algorithm BPDN applied to RCS ISAR measurements is investigated in this paper. It is used to acquire ISAR images from data sets that are incomplete if conventional back projection is used to process images. The aim of the study is to determine if the algorithm can be used to extract accurate RCS values for parts of the measured objects when there are azimuth angle gaps in the measured RCS data. It is determined that the method is limited by the noise level but accurate RCS levels can be determined even at relatively low signal to noise ratios.

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U2 - 10.1109/CoSeRa.2016.7745736

DO - 10.1109/CoSeRa.2016.7745736

M3 - Paper in conference proceeding

AN - SCOPUS:85002810977

SP - 237

EP - 241

BT - 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016

Y2 - 19 September 2016 through 23 September 2016

ER -

Compressive sensing methods for radar cross section ISAR measurements

Sammanfattning

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