A numerically robust blind equalization scheme applied to MIMO communication systems
DOI10.1016/J.JFRANKLIN.2017.10.036zbMath1380.90082OpenAlexW2769882043MaRDI QIDQ681218
Maria D. Miranda, Flávio R. M. Pavan, Magno T. M. Silva
Publication date: 30 January 2018
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.10.036
deterministic stability analysismultiple-input multiple-output (MIMO) communication systemsmultiuser Shalvi-Weinstein algorithm (MU-SWA)robust blind equalization
Sensitivity (robustness) (93B35) Communication networks in operations research (90B18) Multivariable systems, multidimensional control systems (93C35) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Stability of control systems (93D99)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Error propagation properties of recursive least-squares adaptation algorithms
- Recursive estimation of fourth-order cumulants with application to identification.
- Round-off error propagation in four generally-applicable, recursive, least-squares estimation schemes
- Fading performance evaluation of a semi-blind adaptive space-time equaliser for frequency selective MIMO systems
- A gradient search interpretation of the super-exponential algorithm
- Numerical stability properties of a QR-based fast least squares algorithm
- Super-exponential methods for blind deconvolution
- Avoiding Divergence in the Shalvi–Weinstein Algorithm
- A Soft-Switching Blind Equalization Scheme via Convex Combination of Adaptive Filters
This page was built for publication: A numerically robust blind equalization scheme applied to MIMO communication systems