Compressive sensing methods for radar cross section ISAR measurements
(2016) 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 p.237-241- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/fc73d94f-bc85-4e47-8c63-d9a27bb294f2
- author
- Larsson, Christer LU
- organization
- publishing date
- 2016-11-15
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
- article number
- 7745736
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
- conference location
- Aachen, Germany
- conference dates
- 2016-09-19 - 2016-09-23
- external identifiers
-
- scopus:85002810977
- ISBN
- 9781509029204
- DOI
- 10.1109/CoSeRa.2016.7745736
- language
- English
- LU publication?
- yes
- id
- fc73d94f-bc85-4e47-8c63-d9a27bb294f2
- date added to LUP
- 2016-12-28 13:49:11
- date last changed
- 2022-04-01 05:17:21
@inproceedings{fc73d94f-bc85-4e47-8c63-d9a27bb294f2, abstract = {{<p>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.</p>}}, author = {{Larsson, Christer}}, booktitle = {{2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016}}, isbn = {{9781509029204}}, language = {{eng}}, month = {{11}}, pages = {{237--241}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Compressive sensing methods for radar cross section ISAR measurements}}, url = {{http://dx.doi.org/10.1109/CoSeRa.2016.7745736}}, doi = {{10.1109/CoSeRa.2016.7745736}}, year = {{2016}}, }