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Maximum-likelihood channel estimation in block fading amplify-and-forward relaying networks

Nico Aerts (UGent) , Iancu Avram (UGent) and Marc Moeneclaey (UGent)
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Abstract
Several diversity techniques have been proposed to counteract the effect of fading on the error performance of wireless networks. A recent and promising technique, which achieves spatial diversity without increased hardware demands, is cooperative communication, involving other terminals in the network that relay the information broadcasted by the source terminal to the destination terminal. In literature several cooperative protocols have been studied under the simplifying assumption that all channel state information is available at the destination. In this paper, we use the space-alternating generalized expectation-maximization (SAGE) algorithm to perform codeaided iterative channel estimation from the broadcasted signals in an Amplify-and-Forward protocol, and investigate the resulting error performance.
Keywords
diversity reception, expectation-maximisation algorithm, amplify and forward communication, cooperative communication, fading channels, protocols

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MLA
Aerts, Nico, Iancu Avram, and Marc Moeneclaey. “Maximum-likelihood Channel Estimation in Block Fading Amplify-and-forward Relaying Networks.” SPAWC 2011 : 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications. New York, NY, USA: IEEE, 2011. 221–225. Print.
APA
Aerts, N., Avram, I., & Moeneclaey, M. (2011). Maximum-likelihood channel estimation in block fading amplify-and-forward relaying networks. SPAWC 2011 : 2011 IEEE 12th international workshop on signal processing advances in wireless communications (pp. 221–225). Presented at the 12th IEEE International workshop on Signal Processing Advances in Wireless Communications (SPAWC 2011), New York, NY, USA: IEEE.
Chicago author-date
Aerts, Nico, Iancu Avram, and Marc Moeneclaey. 2011. “Maximum-likelihood Channel Estimation in Block Fading Amplify-and-forward Relaying Networks.” In SPAWC 2011 : 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, 221–225. New York, NY, USA: IEEE.
Chicago author-date (all authors)
Aerts, Nico, Iancu Avram, and Marc Moeneclaey. 2011. “Maximum-likelihood Channel Estimation in Block Fading Amplify-and-forward Relaying Networks.” In SPAWC 2011 : 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications, 221–225. New York, NY, USA: IEEE.
Vancouver
1.
Aerts N, Avram I, Moeneclaey M. Maximum-likelihood channel estimation in block fading amplify-and-forward relaying networks. SPAWC 2011 : 2011 IEEE 12th international workshop on signal processing advances in wireless communications. New York, NY, USA: IEEE; 2011. p. 221–5.
IEEE
[1]
N. Aerts, I. Avram, and M. Moeneclaey, “Maximum-likelihood channel estimation in block fading amplify-and-forward relaying networks,” in SPAWC 2011 : 2011 IEEE 12th international workshop on signal processing advances in wireless communications, San Francisco, CA, USA, 2011, pp. 221–225.
@inproceedings{1993245,
  abstract     = {Several diversity techniques have been proposed to counteract the effect of fading on the error performance of wireless networks. A recent and promising technique, which achieves spatial diversity without increased hardware demands, is cooperative communication, involving other terminals in the network that relay the information broadcasted by the source terminal to the destination terminal. In literature several cooperative protocols have been studied under the simplifying assumption that all channel state information is available at the destination. In this paper, we use the space-alternating generalized expectation-maximization (SAGE) algorithm to perform codeaided iterative channel estimation from the broadcasted signals in an Amplify-and-Forward protocol, and investigate the resulting error performance.},
  author       = {Aerts, Nico and Avram, Iancu and Moeneclaey, Marc},
  booktitle    = {SPAWC 2011 : 2011 IEEE 12th international workshop on signal processing advances in wireless communications},
  isbn         = {9781424493333},
  issn         = {1948-3244},
  keywords     = {diversity reception,expectation-maximisation algorithm,amplify and forward communication,cooperative communication,fading channels,protocols},
  language     = {eng},
  location     = {San Francisco, CA, USA},
  pages        = {221--225},
  publisher    = {IEEE},
  title        = {Maximum-likelihood channel estimation in block fading amplify-and-forward relaying networks},
  url          = {http://dx.doi.org/10.1109/SPAWC.2011.5990400},
  year         = {2011},
}

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