Dynamic threshold detection for maximum likelihood sequence estimation
M.P.C. Fossorier · 2002
Maximum likelihood sequence estimation (MLSE) provides optimum detection for intersymbol interference (ISI) channels with additive white Gaussian noise (AWGN). This decoding process dynamically searches the minimum path through the ISI channel trellis, using the Viterbi algorithm. We exploit the structure of this trellis and present an equivalent optimum scheme based on dynamic quantization, which reduces the computational complexity.>