Title :
A fast computation algorithm for the decision feedback equalizer
Author :
Lee, Inkyu ; Cioffi, John M.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
fDate :
11/1/1995 12:00:00 AM
Abstract :
A novel fast algorithm for computing the minimum MSE decision feedback equalizer settings is proposed. The equalizer filters are computed indirectly, first by estimating the channel, and then by computing the coefficients in the frequency domain with the discrete Fourier transform (DFT). Approximating the correlation matrices by circulant matrices facilitates the whole computation with very small performance loss. The fractionally spaced equalizer settings are derived. The performance of the fast algorithm is evaluated through simulation. The effects of the channel estimation error and finite precision arithmetic are briefly analyzed. Results of simulation show the superiority of the proposed scheme
Keywords :
approximation theory; correlation methods; decision feedback equalisers; discrete Fourier transforms; error statistics; estimation theory; matrix algebra; telecommunication channels; DFT; approximation; channel estimation; channel estimation error; circulant matrices; coefficients; correlation matrices; decision feedback equalizer; discrete Fourier transform; equalizer filters; fast algorithm performance; fast computation algorithm; finite precision arithmetic; fractionally spaced equalizer settings; frequency domain; minimum MSE; minimum mean square error; simulation; Adaptive equalizers; Computational modeling; Copper; Decision feedback equalizers; Discrete Fourier transforms; Feedback loop; Filters; Frequency domain analysis; Intersymbol interference; Least squares approximation;
Journal_Title :
Communications, IEEE Transactions on
