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Projekt Druckansicht

Compressive 2D/3D SAR (ComSAR)

Fachliche Zuordnung Elektronische Halbleiter, Bauelemente und Schaltungen, Integrierte Systeme, Sensorik, Theoretische Elektrotechnik
Förderung Förderung von 2015 bis 2020
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 271711851
 
Erstellungsjahr 2020

Zusammenfassung der Projektergebnisse

Keine Zusammenfassung vorhanden

Projektbezogene Publikationen (Auswahl)

  • A nullspace based L1 minimizing Kalman filter approach to sparse CS reconstruction, in EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, Proceedings of, 2016, pp. 1-5
    O. Loffeld, A. Seel, M. H. Conde, and L. Wang
  • ISAR Imaging using A Greedy Kalman Filtering Method with Sparse Constraints, in EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, Proceedings of, 2016, pp. 1-5
    L. Wang, O. Loffeld, and Y. Qian
  • ISAR imaging using a nullspace ℓ1 minimizing Kalman filter approach, in Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2016 4th International Workshop on, 2016, pp. 232-236
    L. Wang and O. Loffeld
    (Siehe online unter https://doi.org/10.1109/CoSeRa.2016.7745735)
  • Norm-minimized scattering data from intensities, in Communications (COMM), 2016 International Conference on, 2016, pp. 455-460
    A. Seel, A. Davtyan, U. Pietsch, and O. Loffeld
    (Siehe online unter https://doi.org/10.1109/ICComm.2016.7528205)
  • Norm-Minimized Scattering Data from Intensity Spectra, Mathematical Problems in Engineering, vol. 2016, 2016
    A. Seel, A. Davtyan, U. Pietsch, and O. Loffeld
    (Siehe online unter https://doi.org/10.1155/2016/9853714)
  • Sparse CS reconstruction by nullspace based ℓ1 minimizing Kalman filtering, in Communications (COMM), 2016 International Conference on, 2016, pp. 449-454
    O. Loffeld, A. Seel, M. H. Conde, and L. Wang
    (Siehe online unter https://doi.org/10.1109/ICComm.2016.7528204)
  • A null-space-based genetic algorithm for constrained ℓ1 minimization, IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Bilbao, Spain, pp. 294-299, 18-20 Dec., 2017
    M. Heredia Conde, D.A. Hage, O. Loffeld
    (Siehe online unter https://doi.org/10.1109/ISSPIT.2017.8388658)
  • Sparse ISAR imaging using a greedy Kalman filtering approach, Signal Processing, vol. 138, pp. 1-10, 2017
    L. Wang, O. Loffeld, K. Ma, and Y. Qian
    (Siehe online unter https://doi.org/10.1016/j.sigpro.2017.03.002)
  • Convergence Accelerator for ℓ1 -Minimizing Kalman Filter, 5th International Workshop on Compressed Sensing applied to Radar, Multimodal Sensing, and Imaging (CoSeRa 2018), Siegen, September 10-13, 2018
    D.A. Hage, M. Heredia Conde, O. Loffeld
  • From L1 Minimization to Entropy Minimization: A Novel Approach for Sparse Signal Recovery in Compressive Sensing, 26th European Signal Processing Conference (EUSIPCO), pp. 568-572, 3-7 Sept. 2018
    M. Heredia Conde, O. Loffeld
    (Siehe online unter https://doi.org/10.23919/EUSIPCO.2018.8553245)
  • Some New Results on ℓ1 -Minimizing Nullspace Kalman Filtering for Remote Sensing Applications, arXiv
    O. Loffeld, D.A. Hage, M. Heredia Conde, L. Wang
    (Siehe online unter https://doi.org/10.48550/arXiv.1808.06538)
  • Some new Results on ℓ1 Minimizing Nullspace Kalman Filtering, EUSAR 2018; 12th European Conference on Synthetic Aperture Radar, Aachen, Germany, pp. 1-6., 2018
    O. Loffeld, D.A. Hage, M. Heredia Conde, L. Wang
  • New Results on Sparse Signal Recovery via Kalman-Filter-based ℓ1 Minimization, IEEE Elsevier Signal Processing, Jan. 2020
    D.A. Hage, M. Heredia Conde, O. Loffeld
    (Siehe online unter https://doi.org/10.1016/j.sigpro.2020.107487)
 
 

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