Title :
On the performance of the Viterbi equalizer in the presence of channel estimation errors
Author :
Gorokhov, Alexei
Author_Institution :
Ecole Superieure d´´Electr., Gif-sur-Yvette, France
Abstract :
Maximum-likelihood sequence estimation is often used to recover digital signals transmitted over finite memory convolutive channels when an estimate of the channel is available. In this letter, we study the impact of channel estimation errors on the quality of sequence detection. The general case of single input multiple output (SIMO) channels is considered. An asymptotic upper bound for the symbol error rate is presented, which allows us to treat channel estimation errors as equivalent to losses in signal-to-noise ratio (SNR). This relationship is studied and numerically validated for the standard least squares channel estimate.
Keywords :
Viterbi detection; convolution; digital signals; equalisers; error statistics; least squares approximations; maximum likelihood detection; maximum likelihood sequence estimation; telecommunication channels; MLSE; SIMO channels; SNR; Viterbi equalizer; asymptotic upper bound; channel estimation errors; digital signals; finite memory convolutive channels; least squares channel estimate; maximum-likelihood sequence estimation; sequence detection; signal-to-noise ratio; single input multiple output channels; symbol error rate; AWGN; Additive white noise; Channel estimation; Detectors; Equalizers; Error analysis; Intersymbol interference; Maximum likelihood detection; Maximum likelihood estimation; Viterbi algorithm;
Journal_Title :
Signal Processing Letters, IEEE
