Amplitude-division parallel LMS estimator

Author

Shimamura, Tetsuya ; Oikawa, Shingo ; Tsuda, Yusuke

Author_Institution

Grad. Sch. of Sci. & Eng., Saitama Univ., Saitama

fYear

2008

fDate

10-13 Aug. 2008

Firstpage

950

Lastpage

953

Abstract

This paper presents a novel tracking technique for rapidly time-varying channels. The proposed scheme supposes multiple linear transversal filters (estimators), which are constructed in a parallel structure. The coefficient vectors for each estimator are adapted by the least mean square (LMS) algorithm according to the information of the channel coefficient values. Computer simulation results show that the proposed estimator provides an improvement relative to the conventional prediction based LMS estimators in various fade rate conditions.

Keywords

channel estimation; least mean squares methods; multipath channels; time-varying channels; tracking filters; transversal filters; amplitude-division parallel LMS estimator; channel coefficient; least mean square algorithm; multipath channels; multiple linear transversal filters; parallel structure; time-varying channels; tracking technique; Additive white noise; Amplitude estimation; Computer simulation; Least squares approximation; Multipath channels; Resonance light scattering; Sampling methods; Time-varying channels; Transversal filters; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2008. MWSCAS 2008. 51st Midwest Symposium on

Conference_Location

Knoxville, TN

ISSN

1548-3746

Print_ISBN

978-1-4244-2166-4

Electronic_ISBN

1548-3746

Type

conf

DOI

10.1109/MWSCAS.2008.4616958

Filename

4616958