Sparse channel estimation in millimeter wave communications: Exploiting joint AoD-AoA angular spread

@article{Wang2017SparseCE,
  title={Sparse channel estimation in millimeter wave communications: Exploiting joint AoD-AoA angular spread},
  author={Pu Wang and Milutin Pajovic and Philip V. Orlik and Toshiaki Koike-Akino and Kyeong Jin Kim and Jun Fang},
  journal={2017 IEEE International Conference on Communications (ICC)},
  year={2017},
  pages={1-6}
}
  • Pu Wang, Milutin Pajovic, +3 authors Jun Fang
  • Published in
    IEEE International Conference…
    2017
  • Computer Science
  • In this paper, channel estimation in millimeter wave (mmWave) communication systems is considered. In contrast to prevailing mmWave channel estimation methods exploiting the sparsity nature of the channel, we move one step further by exploiting the joint AoD-AoA angular spread. By formulating the channel estimation as a block-sparse signal recovery with an underlying two-dimensional cluster feature, we propose a two-dimensional sparse Bayesian learning method without a priori knowledge of two… CONTINUE READING

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