Title :
Fast Blind Adaptive Channel Shortening Using Signal Subspace
Author :
Karami, Mahdi ; Olfat, Ali
Author_Institution :
Dept. of Electr. & Comput. Eng., Tehran Univ., Tehran
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;
Conference_Titel :
Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1644-8
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2008.575
