Back to Search
Start Over
Unambiguous Sparse Recovery of Migrating Targets With a Robustified Bayesian Model.
- Source :
-
IEEE Transactions on Aerospace & Electronic Systems . Feb2019, Vol. 55 Issue 1, p108-123. 16p. - Publication Year :
- 2019
-
Abstract
- The problem considered is that of estimating unambiguously migrating targets observed with a wideband radar. We extend a previously described sparse Bayesian algorithm to the presence of diffuse clutter and off-grid targets. A hybrid-Gibbs sampler is formulated to jointly estimate the sparse target amplitude vector, the grid mismatch, and the (assumed) autoregressive noise. Results on synthetic and fully experimental data show that targets can be actually unambiguously estimated even if located in blind speeds. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BAYESIAN analysis
*SIGNAL processing
*ALGORITHMS
*REMOTE sensing
*RADAR
Subjects
Details
- Language :
- English
- ISSN :
- 00189251
- Volume :
- 55
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Aerospace & Electronic Systems
- Publication Type :
- Academic Journal
- Accession number :
- 134734548
- Full Text :
- https://doi.org/10.1109/TAES.2018.2848360