Computer Science – Information Theory
Scientific paper
2007-10-19
Computer Science
Information Theory
12 pages, double column format, 5 figures
Scientific paper
The problem of channel shortening equalization for optimal detection in ISI channels is considered. The problem is to choose a linear equalizer and a partial response target filter such that the combination produces the best detection performance. Instead of using the traditional approach of MMSE equalization, we directly seek all equalizer and target pairs that yield optimal detection performance in terms of the sequence or symbol error rate. This leads to a new notion of a posteriori equivalence between the equalized and target channels with a simple characterization in terms of their underlying probability distributions. Using this characterization we show the surprising existence an infinite family of equalizer and target pairs for which any maximum a posteriori (MAP) based detector designed for the target channel is simultaneously MAP optimal for the equalized channel. For channels whose input symbols have equal energy, such as q-PSK, the MMSE equalizer designed with a monic target constraint yields a solution belonging to this optimal family of designs. Although, these designs produce IIR target filters, the ideas are extended to design good FIR targets. For an arbitrary choice of target and equalizer, we derive an expression for the probability of sequence detection error. This expression is used to design optimal FIR targets and IIR equalizers and to quantify the FIR approximation penalty.
Erden Fatih M.
Venkataramani Raman
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