A Successive Decoding Strategy for Channels With Memory

@article{Li2005ASD,
  title={A Successive Decoding Strategy for Channels With Memory},
  author={Teng Li and Oliver M. Collins},
  journal={Proceedings. International Symposium on Information Theory, 2005. ISIT 2005.},
  year={2005},
  pages={239-243}
}
This paper presents a new technique for communication over channels with memory where the channel state is unknown at the transmitter and receiver. A deep interleaver combined with successive decoding decomposes a channel with memory into an array of parallel memoryless channels on which a conventional coding system can operate individually. The problems of joint channel estimation and decoding thus are separated without loss of capacity. This technique achieves channel capacity and so may be… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 47 references

Capacity, mutual information, and coding for finite-state Markov channels

IEEE Trans. Information Theory • 1996
View 4 Excerpts
Highly Influenced

Capacity and coding for the Gilbert-Elliot channels

IEEE Trans. Information Theory • 1989
View 4 Excerpts
Highly Influenced

Calculating and achieving capacity of a MIMO channel with unknown correlated fading

S. Ranganathan R. Gopalan, K. Padmanabhan, T. Li, O. M. Collins
2006

Analysis and design of LDPC codes for timeselective complexfading channels

A. Anastasopoulos
IEEE Trans . Wireless Commun . • 2005

Analysis and design of low density parity check codes for noncoherent block fading channels

A. W. Eckford, T. E. Fuja
Proc . IEEE Int . Symp . Information Theory • 2005

Approaching capacity on correlated fading channels with unknown state

Proceedings. International Symposium on Information Theory, 2005. ISIT 2005. • 2005
View 1 Excerpt

Capacity and coding for flat fading channels without channel state information

IEEE Wireless Communications and Networking Conference, 2005 • 2005
View 2 Excerpts