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Decision feedback equalization in channels with signal-dependent media noise

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1 Author(s)
Kavcic, A. ; Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA

Since maximum likelihood sequence detection in channels with media noise requires too many trellis states, it is advantageous to seek simpler detectors. This paper formulates the signal-dependent decision feedback equalizer (SD-DFE) for these channels. For the purpose of designing the feedforward equalizer, the channel is treated as linear and the noise as stationary. These assumptions guide the design of the minimum-mean-square-error feedforward equalizer. The feedback structure is derived using the autoregressive signal/noise model. In 90% jitter noise dominated channels, the SD-DFE performs as well as a 16-state signal-dependent Viterbi detector, at a fraction of the complexity. A drawback of this method is error propagation due to the feedback

Published in:
Magnetics, IEEE Transactions on  (Volume:37 ,  Issue: 4 )

Date of Publication: Jul 2001

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