Abstract
In this paper, we propose an adaptive framework for the variable power of the fractional least mean square (FLMS) algorithm using the concept of instantaneous error energy. The proposed algorithm named variable power-FLMS (VP-FLMS) is computationally less expensive and dynamically adapts the fractional power of the FLMS to achieve a high convergence rate with a low steady state error. For the evaluation purpose, the problems of channel estimation and channel equalization are considered. The experiments clearly show that the proposed approach achieves better convergence rate and lower steady-state error compared to the FLMS.
Original language | English |
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Title of host publication | ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks |
Editors | Yeong Min Jang, Gianluca Reali, C.K. Toh, Zary Segall, Takeo Fujii |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 290-295 |
Number of pages | 6 |
ISBN (Electronic) | 9781509047499 |
DOIs | |
Publication status | Published - Jul 2017 |
Event | 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy Duration: 4 Jul 2017 → 7 Jul 2017 |
Conference
Conference | 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 |
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Country/Territory | Italy |
City | Milan |
Period | 4/07/17 → 7/07/17 |