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Compressive sensing methods for radar cross section ISAR measurements

Larsson, Christer LU (2016) 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 In 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.

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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
pages
5 pages
publisher
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
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
2017-01-01 08:44:33
@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    = {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},
  year         = {2016},
}