Sparsity-Based Off-Grid Blind Sensor Calibration

This work develops a sparsity-based, off-grid, blind sensor-calibration framework. The proposed approach jointly estimates sensor calibration parameters and the off-grid signal parameters of interest, removing the need for known calibration sources while accounting for the discretization error inherent in on-grid sparse methods.

Recommended citation: A. Bazzi, D. T. M. Slock and L. Meilhac, "Sparsity-Based Off-Grid Blind Sensor Calibration," in Digital Signal Processing, Elsevier, 2019. https://www.sciencedirect.com/science/article/abs/pii/S1051200418304548

@article{bazzi2019sparsity-based,
  title   = {Sparsity-Based Off-Grid Blind Sensor Calibration},
  author  = {Ahmad Bazzi and Dirk T. M. Slock and Lisa Meilhac},
  journal = {Digital Signal Processing},
  year    = {2019},
  month   = {jan},
  publisher = {Elsevier},
  url     = {https://therealbazzi.github.io/publication/sparsity-off-grid-blind-sensor-calibration-dsp19},
}