Predictive FBLMS adaptive algorithms for tracking mobile channels

Author

Nasir, Qassim ; Rashid, Kasim

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Sharjah, Sharjah, United Arab Emirates

fYear

2012

fDate

2-5 April 2012

Firstpage

93

Lastpage

98

Abstract

The aim of this paper is to improve the performance of Frequency domain Block Least Mean Square (FBLMS) adaptive algorithm that is used for fading channel estimation. Multistep adaptive algorithm known as Second Order LMS (SOLMS) is used to improve the mobile channel tracking coupled with FBLMS. A one step Least Square (LS) prediction, based on the estimate of the sampled impulse response and the estimate of their speed of variation, is used along with FBLMS. The efficiency of both algorithms is confirmed by simulation test results for moderate(pedestrian) with Doppler frequency offset of 6 Hz and fast varying(vehicular) mobile channels th Doppler frequency offset of 100 Hz. The results show that both methods offer improvement in the Mean Square Estimation Error.

Keywords

fading channels; least squares approximations; mean square error methods; mobile radio; Doppler frequency offset; SOLMS; fading channel estimation; fast varying mobile channels; frequency 100 Hz; frequency 6 Hz; frequency domain block least mean square adaptive algorithm; least square prediction; mean square estimation error; mobile channels tracking; multistep adaptive algorithm; pedestrian; predictive FBLMS adaptive algorithms; second order LMS; simulation test; Channel estimation; Fading; Frequency domain analysis; Least squares approximation; Mobile communication; Prediction algorithms; Signal to noise ratio; Block LMS; Faded channel estimation; Least Mean Square (LMS);

fLanguage

English

Publisher

ieee

Conference_Titel

Future Communication Networks (ICFCN), 2012 International Conference on

Conference_Location

Baghdad

Print_ISBN

978-1-4673-0261-6

Electronic_ISBN

978-1-4673-0259-3

Type

conf

DOI

10.1109/ICFCN.2012.6206881

Filename

6206881