Abstract
In system identification, the selection of the optimum taplength of an adaptive filter is desirable to balance the conflicting requirements of computational cost and the steady-state performance. The performance of the original fractional tap-length least-mean-square LMS (FT-LMS) algorithm is severely degraded with a change in the variance of the input excitation signal, as well as with a change in the variance of the tap-coefficients of the unknown system. In this paper, a normalized LMS style variable tap-length (VTL) algorithm is proposed. The main idea is to efficiently normalize the step-size in the update equation for the tap-length. Furthermore, the idea of fractional gradient is incorporated with the weight-update equation of the adaptive filter. Extensive computer simulations are carried out, which demonstrate that the proposed algorithm gives robust performance in the time-varying environment.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509009169 |
| ISBN (Print) | 9781509009169 |
| DOIs | |
| Publication status | Published - Mar 2 2017 |
| Event | 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates Duration: Oct 16 2016 → Oct 19 2016 |
Publication series
| Name | Midwest Symposium on Circuits and Systems |
|---|
Conference
| Conference | 59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 |
|---|---|
| Country | United Arab Emirates |
| City | Abu Dhabi |
| Period | 10/16/16 → 10/19/16 |
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ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering
Cite this
A robust normalized variable tap-length normalized fractional LMS algorithm. / Akhtar, Muhammad Tahir; Ahmed, Shakeel.
2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7870146 (Midwest Symposium on Circuits and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A robust normalized variable tap-length normalized fractional LMS algorithm
AU - Akhtar, Muhammad Tahir
AU - Ahmed, Shakeel
PY - 2017/3/2
Y1 - 2017/3/2
N2 - In system identification, the selection of the optimum taplength of an adaptive filter is desirable to balance the conflicting requirements of computational cost and the steady-state performance. The performance of the original fractional tap-length least-mean-square LMS (FT-LMS) algorithm is severely degraded with a change in the variance of the input excitation signal, as well as with a change in the variance of the tap-coefficients of the unknown system. In this paper, a normalized LMS style variable tap-length (VTL) algorithm is proposed. The main idea is to efficiently normalize the step-size in the update equation for the tap-length. Furthermore, the idea of fractional gradient is incorporated with the weight-update equation of the adaptive filter. Extensive computer simulations are carried out, which demonstrate that the proposed algorithm gives robust performance in the time-varying environment.
AB - In system identification, the selection of the optimum taplength of an adaptive filter is desirable to balance the conflicting requirements of computational cost and the steady-state performance. The performance of the original fractional tap-length least-mean-square LMS (FT-LMS) algorithm is severely degraded with a change in the variance of the input excitation signal, as well as with a change in the variance of the tap-coefficients of the unknown system. In this paper, a normalized LMS style variable tap-length (VTL) algorithm is proposed. The main idea is to efficiently normalize the step-size in the update equation for the tap-length. Furthermore, the idea of fractional gradient is incorporated with the weight-update equation of the adaptive filter. Extensive computer simulations are carried out, which demonstrate that the proposed algorithm gives robust performance in the time-varying environment.
UR - http://www.scopus.com/inward/record.url?scp=85015977429&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015977429&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2016.7870146
DO - 10.1109/MWSCAS.2016.7870146
M3 - Conference contribution
SN - 9781509009169
T3 - Midwest Symposium on Circuits and Systems
BT - 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -