Adaptive per-survivor processing

Author

Zhu, Zhenyu ; Sadjadpour, Hamid R.

Author_Institution

Lucent Technol. Bell Labs., Allentown, PA, USA

Volume

2

fYear

2000

fDate

Oct. 29 2000-Nov. 1 2000

Firstpage

1796

Abstract

An adaptive per-survivor processing (PSP) algorithm is proposed to accurately decode the data and estimate the time-varying channels. With a variable step size parameter for a plurality of survivor paths, this new method eliminates the dependency of all the survivor paths and improves the convergence rate of channel estimation. It improves the performance of the original PSP, especially in the highly dynamic channels.

Keywords

adaptive signal processing; convergence of numerical methods; decoding; least mean squares methods; multipath channels; time-varying channels; LMS algorithm; PSP; RLS; adaptive per-survivor processing algorithm; channel estimation; convergence rate; data decoding; dynamic Doppler frequency shift; dynamic channels; nonstationary channels; performance; time-varying channels; time-varying multipath effect; variable step size parameter; wireless communication; Channel estimation; Convergence; Degradation; Frequency estimation; Least squares approximation; Maximum likelihood decoding; Maximum likelihood estimation; Optimization methods; Time-varying channels; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-6514-3

Type

conf

DOI

10.1109/ACSSC.2000.911297

Filename

911297