Name
Abstract | ||
|---|---|---|
In this paper, the problem of blind equalization and source separation of convolutive Multi-Input Multi-Output (MIMO) system is solved using Givens/Shear rotations. Targeting the Multi-Modulus (MM) signals and exploiting the secondorder decorrelation among the transmitting sources, two efficient Givens Muti-Modulus (G-MMDDA) and Hyperbolic Givens (HG-MMDDA) Deconvolution algorithms are proposed for the first time. These solutions can be seen as extensions of the blind source separation MM-based method by Shah et al (2015) to the more general case of blind deconvolution for memory MIMO channels. The resulting algorithms are quite appealing as they combine both a good speed of convergence with low computational complexity. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) | Decorrelation,Blind deconvolution,Computer science,MIMO,Algorithm,Deconvolution,Blind signal separation,Blind equalization,Source separation,Computational complexity theory |
DocType | ISSN | Citations |
Conference | 1550-3607 | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qadri Mayyala | 1 | 5 | 2.11 |
| Karim Abed-Meraim | 2 | 10 | 5.40 |
| Azzedine Zerguine | 3 | 343 | 51.98 |