@InProceedings{7362772,
  author = {C. J. Bordin and M. G. S. Bruno},
  booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)},
  title = {Distributed rao-blackwellized point mass filter for blind equalization in receiver networks},
  year = {2015},
  pages = {2186-2190},
  abstract = {We describe new Bayesian algorithms for cooperative blind equalization in a network in which the signal broadcast by a single transmitter is received by multiple remote nodes through distinct frequency-selective channels. The algorithms are based on Rao-Blackwellized point mass filters, and approximate the posterior densities of the unknown channel parameters by Gaussian mixtures of fixed order. To keep computations treatable, density mixtures are reduced by a modified version of West's algorithm. A reduced complexity approach which employs a single mode approximation of some remote quantities is also considered. Via numerical simulations, we verify that the proposed algorithms outperform certain particle-filtering-based algorithms with comparable communication loads.},
  keywords = {Bayes methods;blind equalisers;Gaussian processes;mixture models;particle filtering (numerical methods);Distribute Rao-Blackwellized point mass filter;receiver network;Bayesian algorithm;cooperative blind equalization;signal broadcast;single transmitter;frequency selective channel;posterior density;Gaussian mixture model;West algorithm;reduced complexity approach;single mode approximation;particle-filtering-based algorithm;Signal processing algorithms;Approximation algorithms;Blind equalizers;Approximation methods;Europe;Receivers;Blind Equalization;Distributed Algorithms;Bayesian Estimation;Point Mass Filter},
  doi = {10.1109/EUSIPCO.2015.7362772},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570096397.pdf},
}

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