Title :
On finite word length effects for the FIR MMSE-DFE
Author :
Al-Dhahir, Naofal
Author_Institution :
GE Corp. Res. & Dev., Niskayuna, NY, USA
Abstract :
An analytical upper bound on the degradation in the decision-point signal-to-noise ratio (SNR) of the finite-impulse-response (FIR) minimum mean-square error decision-feedback equalizer (MMSE-DFE) due to finite-precision implementation of its optimum filter coefficients is derived. Simulation results demonstrate the tightness of the analytical bound for scenarios of most practical interest.
Keywords :
FIR filters; decision feedback equalisers; filtering theory; least mean squares methods; quantisation (signal); FIR MMSE-DFE; analytical upper bound; coefficient quantization; decision-feedback equalizer; decision-point SNR; feedback filters; feedforward filters; finite word length effects; finite-impulse-response; finite-precision implementation; minimum mean-square error; optimum filter coefficients; signal-to-noise ratio; simulation results; word length size; Analytical models; Autocorrelation; Decision feedback equalizers; Degradation; Digital filters; Finite impulse response filter; Quantization; Signal analysis; Signal to noise ratio; Upper bound;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.709443
