Abstract
In this paper, the tracking behavior of the ∈-normalized sign-error least mean square (NSLMS) algorithm is analyzed in the presence of white and correlated Gaussian regressors. Moreover, generic analytical expressions are derived for the optimal step-size and the corresponding optimal meansquare error (MSE) of the ∈-NSLMS algorithm for both the real- and complex-valued data cases. Additionally, a comparison between the convergence behavior of the ∈-NSLMS algorithm and the ∈-normalized least mean square (NLMS) algorithm is also discussed. Finally, simulation results to corroborate our theoretical findings are presented.
| Original language | English |
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| Title of host publication | 2015 International Conference on Communications, Signal Processing, and Their Applications, ICCSPA 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479965328 |
| DOIs | |
| State | Published - 6 Apr 2015 |
Publication series
| Name | 2015 International Conference on Communications, Signal Processing, and Their Applications, ICCSPA 2015 |
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Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- LMS
- NLMS
- NSLMS
- SLMS
- Tracking
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing