Author:
Hueske K.,Geldmacher J.,Götze J.
Abstract
Abstract. Convolutional codes, which are frequently used as error correction codes in digital transmission systems, are generally decoded using the Viterbi Decoder. On the one hand the Viterbi Decoder is an optimum maximum likelihood decoder, i.e. the most probable transmitted code sequence is obtained. On the other hand the mathematical complexity of the algorithm only depends on the used code, not on the number of transmission errors. To reduce the complexity of the decoding process for good transmission conditions, an alternative syndrome based decoder is presented. The reduction of complexity is realized by two different approaches, the syndrome zero sequence deactivation and the path metric equalization. The two approaches enable an easy adaptation of the decoding complexity for different transmission conditions, which results in a trade-off between decoding complexity and error correction performance.
Reference8 articles.
1. Ariel, M. and Snyders, J.: Error-trellises for convolutional codes .II. Decoding methods, Communications, IEEE Transactions on, 47, 1015–1024, \\doi10.1109/26.774852, 1999.
2. Forney~Jr., G.: Convolutional codes I: Algebraic structure, Information Theory, IEEE Transactions on, 16, 720–738, 1970.
3. Forney~Jr., G.: The Viterbi Algorithm, IEEE Proceedings, 61, 268–278, 1973.
4. Johannesson, R. and Zigangirov, K S.: Fundamentals of Convolutional Coding, IEEE press, 1999.
5. Reed, I. and Truong, T.: Error-trellis syndrome decoding techniques for convolutional codes, IEE Proceedings Pt. F, 132, 77–83, 1985.
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