Receding horizon decoding of convolutional codes

Details Receding horizon decoding of convolutional codes Receding horizon decoding of convolutional codes

2009-09-03

arxiv.org/abs/0909.0588v1

Computer Science

Information Theory

Scientific paper

Decoding of convolutional codes poses a significant challenge for coding theory. Classical methods, based on e.g. Viterbi decoding, suffer from being computationally expensive and are restricted therefore to codes of small complexity. Based on analogies with model predictive optimal control, we propose a new iterative method for convolutional decoding that is cheaper to implement than established algorithms, while still offering significant error correction capabilities. The algorithm is particularly well-suited for decoding special types of convolutional codes, such as e.g. cyclic convolutional codes.

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