Abstract

Design equations are presented for robust and realizable decision feedback equalizers, for IIR channels with coloured noise. Given a probabilistic measure of model uncertainty, the mean MSE, averaged over the whole class of possible models, is minimized. A robustification parameter, which trades off error propagation against theoretical performance, is also introduced. The resulting design equations define a large class of equalizers, with DFE's and linear equalizers based on nominal models being special cases. If data sequences fd(n)g are transmitted in the presence of intersymbol interference, they have to be reconstructed from the received sequences fy(n)g. Equalizers compute estimates ¯ d(n) on a symbol by symbol basis. Their main advantage, compared to the MLSE Viterbi detector, is a low computational complexity. If channels are slowly time-- varying, filter coefficients can be adjusted during known training sequences, and held fixed until the next training. For fast time--variat...

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