Reduction of Error-Trellises for Tail-Biting Convolutional Codes Using Shifted Error-Subsequences

Masato Tajima, Koji Okino, Tatsuto Murayama

In this paper, we discuss the reduction of error-trellises for tail-biting convolutional codes. In the case where some column of a parity-check matrix has a monomial factor (with indeterminate D), we show that the associated tail-biting error-trellis can be reduced by cyclically shifting the corresponding error-subsequence by l (the power of D) time units. We see that the resulting reduced error-trellis is again tail-biting. Moreover, we show that reduction is also possible using backward-shifted error-subsequences.

Knowledge Graph



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