Partial Iterative Equalization and Channel Decoding

We propose a bit-selective iterative equalization scheme. We consider convolutional code and turbo code transmitted over ISI channels. The receiver starts with conventional iterative equalization and decoding. After each iteration, bit convergence status is measured via cross-entropy. Short windows are then applied around non-converged bits and the subsequent detection/decoding iterates only within the windows. The rapid decrease in selected bits after each iteration proportionally reduces computational complexity, but performance is well maintained by utilizing the Markov property in the trellis detection/decoding.

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