On the performance of the Viterbi equalizer in the presence of channel estimation errors

Maximum-likelihood sequence estimation is often used to recover digital sig nals transmitted over finite memory convolutive channels when an estimate o f 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 trea t channel estimation errors as equivalent to losses in signal-to-noise rati o (SNR). This relationship is studied and numerically validated for the sta ndard least squares channel estimate.