Title :
Amplitude-division parallel LMS estimator
Author :
Shimamura, Tetsuya ; Oikawa, Shingo ; Tsuda, Yusuke
Author_Institution :
Grad. Sch. of Sci. & Eng., Saitama Univ., Saitama
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;
Conference_Titel :
Circuits and Systems, 2008. MWSCAS 2008. 51st Midwest Symposium on
Conference_Location :
Knoxville, TN
Print_ISBN :
978-1-4244-2166-4
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2008.4616958
