Title :
MMSE decision-feedback equalizers: finite-length results
Author :
Al-Dhahir, Naofal ; Cioffi, John M.
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
fDate :
7/1/1995 12:00:00 AM
Abstract :
This paper extends a number of results on the infinite-length minimum-mean-square-error decision Feedback equalizer (MMSE-DFE) reported by Cioffi, Dudevoir, Eyuboglu and Forney (see IEEE Trans. Commun., 1995) to the finite-length case. Cholesky factorization and displacement structure theory are demonstrated to be two powerful analytical tools for analyzing the finite-length MMSE-DFE. Our objective throughout the paper is to establish finite-length analogs of the well-known infinite-length MMSE-DFE results. Similarities and differences between the two cases are examined and delineated. Finally, convergence of our derived finite-length results to their well-established infinite-length counterparts is shown
Keywords :
FIR filters; approximation theory; decision feedback equalisers; filtering theory; Cholesky factorization; FIR MMSE-DFE; FIR filters; MMSE decision-feedback equalizers; convergence; displacement structure theory; finite-length analogs; finite-length results; infinite-length MMSE-DFE; Adaptive filters; Convergence; Decision feedback equalizers; Finite impulse response filter; Helium; IIR filters; Information systems; Laboratories; Performance analysis; Quadrature amplitude modulation;
Journal_Title :
Information Theory, IEEE Transactions on