Name
Title | ||
|---|---|---|
Optimal step size of the adaptive multichannel LMS algorithm for blind SIMO identification |
Abstract | ||
|---|---|---|
Adaptive algorithms for blindly identifying single-input multiple-output (SIMO) systems are appealing because of their computational efficiency and capability of continuously tracking a time-varying system. Adaptive multichannel least-mean-square (MCLMS) algorithms (with and without the unit-norm constraint) are analyzed, and the optimal step size is derived. A simple yet effective variable step-size MCLMS algorithm is proposed, and its performance is evaluated with simulations. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/LSP.2004.842286 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
blind channel identification (BCI), least mean square (LMS), multichannel signal processing, SIMO systems, variable step-size adaptive algorithm | Least mean squares filter,Least squares,Convergence (routing),Signal processing,Mathematical optimization,Wireless,Computer science,Control theory,Adaptive filter,Adaptive algorithm,Finite impulse response | Journal |
Volume | Issue | ISSN |
12 | 3 | 1070-9908 |
Citations | PageRank | References |
17 | 0.87 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiteng Huang | 1 | 1239 | 98.26 |
| Jacob Benesty | 2 | 1941 | 146.01 |
| Jingdong Chen | 3 | 1460 | 128.79 |