From Nominal to True A Posteriori Probabilities: An Exact Bayesian Theorem Based Probabilistic Data Association Approach for Iterative MIMO Detection and Decoding

Shaoshi Yang, Tiejun Lv, Robert G. Maunder, Lajos Hanzo. From Nominal to True A Posteriori Probabilities: An Exact Bayesian Theorem Based Probabilistic Data Association Approach for Iterative MIMO Detection and Decoding. IEEE Transactions on Communications, 61(7):2782-2793, 2013. [doi]

@article{YangLMH13,
  title = {From Nominal to True A Posteriori Probabilities: An Exact Bayesian Theorem Based Probabilistic Data Association Approach for Iterative MIMO Detection and Decoding},
  author = {Shaoshi Yang and Tiejun Lv and Robert G. Maunder and Lajos Hanzo},
  year = {2013},
  doi = {10.1109/TCOMM.2013.053013.120427},
  url = {http://dx.doi.org/10.1109/TCOMM.2013.053013.120427},
  researchr = {https://researchr.org/publication/YangLMH13},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Communications},
  volume = {61},
  number = {7},
  pages = {2782-2793},
}