Fast Blind Adaptive Channel Shortening Using Signal Subspace

Author

Karami, Mahdi ; Olfat, Ali

Author_Institution

Dept. of Electr. & Comput. Eng., Tehran Univ., Tehran

fYear

2008

fDate

11-14 May 2008

Firstpage

2621

Lastpage

2625

Abstract

In cyclic-prefixed communication systems, if the delay spread of the channel is longer than the cyclic prefix (CP) a channel-shortening equalizer (CSE) can be used to restore the desired operation of such systems. Since in time-varying environment we are interested in fast adaptive equalizer with tracking capability, the aim of this paper is to propose RLS-type algorithm for channel shortening. In this paper, we first propose an RLS-type algorithm to estimate the eigenvector corresponding to the smallest eigenvalue of a matrix and based on this algorithm we develop an RLS-type blind channel shortener. We also, based on PAST algorithm, propose an RLS-type update rule to shorten the channel under MMSE criterion. Simulations show the speed advantage of the proposed algorithms.

Keywords

adaptive equalisers; blind equalisers; least mean squares methods; MMSE criterion; blind adaptive channel shortening; channel-shortening equalizer; cyclic-prefixed communication systems; signal subspace; Adaptive signal processing; Delay systems; Eigenvalues and eigenfunctions; Equalizers; Finite impulse response filter; Laboratories; Nonlinear filters; OFDM; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE

Conference_Location

Singapore

ISSN

1550-2252

Print_ISBN

978-1-4244-1644-8

Electronic_ISBN

1550-2252

Type

conf

DOI

10.1109/VETECS.2008.575

Filename

4526131