Minimum Distance and Trapping Set Analysis of Protograph-Based LDPC Convolutional Codes

@article{Mitchell2013MinimumDA,
  title={Minimum Distance and Trapping Set Analysis of Protograph-Based LDPC Convolutional Codes},
  author={David G. M. Mitchell and Ali Emre Pusane and Daniel J. Costello},
  journal={IEEE Transactions on Information Theory},
  year={2013},
  volume={59},
  pages={254-281}
}
Low-density parity-check (LDPC) convolutional codes have been shown to be capable of achieving capacity-approaching performance with iterative message-passing decoding. In the first part of this paper, using asymptotic methods to obtain lower bounds on the free distance to constraint length ratio, we show that several ensembles of regular and irregular LDPC convolutional codes derived from protograph-based LDPC block codes have the property that the free distance grows linearly with respect to… CONTINUE READING
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