Abstract. Turbo equalization is a widely known method to cope with low signal to noise ratio (SNR) channels corrupted by linear intersymbol interference (ISI) Hagenauer et al., 1997). Recently in this workshop it was reported that also for nonlinear channels a remarkable turbo decoding gain can be achieved (Siegrist et al., 2001). However, the classical turbo equalization relies on code rates at 1/3 up to 1/2 which makes it quite unattractive for high rate data transmission. Considering the potential of iterative equalization and decoding, we obtain a considerable turbo decoding gain also for high rate codes of less than 7% redundancy by using punctured convolutional codes and block codes.
To compare the two strategies, MLSE and turbo equalisation are investigated both with outer FEC coding and an overall code rate of R=0.9. For MLSE equalisation a standard outer code, e.g. ReedSolomon (RS) code, of rate RRS is used. For turbo equalisation the code rate is partitioned into a convolutional code of rate RTE and an outer code of rate RRS with RTE⋅RRS=0.9. In addition to the performance results derived by Monte-Carlo simulations, high-speed implementation effort in terms of gate count estimation is considered.
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