Data symbol estimation

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G06F 1110

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051857472

ABSTRACT:
A method of estimating a digitized data signal transmitted as a sequence of data symbols. The received signal is generally distorted by transmission through a dispersive communications channel. The received symbols can exist in a plurality of different states depending on the number of symbols in the data alphabet and the extent of intersymbol interference. In the present method a near-instaneous soft decision is made (without the need for memory storage) for each estimated symbol using the following main steps. 1) Determine for each state at a given time increment k the respective partial path metric (M.sub.A) in respect of the state transition corresponding to the transmission of a first symbol type (A). 2) Determine for each state at the same time increment k the respective partial path metric (M.sub.B) in respect of the state transition corresponding to the transmission of a second symbol type (B). 3) Select the maximum value (M.sub.Amax and M.sub.Bmax) of the first and second symbol type partial path metrics. 4) Difference the two maximum values at step 3 to yield an estimate of the transmitted data symbol in the form of a soft decision. The soft decision has the advantage that it conveys confidence level information about the estimate or decision made.

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Bhargava, Forward Error Correction Schemes for Digital Communications, IEEE Communications Magazine, 21 (1983) Jan., No. 1, New York, USA pp. 11-19.
Fettweis et al., Parallel Viterbi Algorithm Implementation; Breaking the ACS Bottleneck, IEEE Transactions On Communications, 37 (1989) Aug., No. 8, New York USA pp. 785-789.

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