Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems

Sheng Chen Xiao-Chen Yang Lei Chen Lajos Hanzo

Sheng Chen, Xiao-Chen Yang, Lei Chen, Lajos Hanzo. Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(1): 47-51. doi: 10.1007/s11633-007-0047-y
引用本文: Sheng Chen, Xiao-Chen Yang, Lei Chen, Lajos Hanzo. Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(1): 47-51. doi: 10.1007/s11633-007-0047-y
Sheng Chen, Xiao-Chen Yang, Lei Chen and Lajos Hanzo. Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems. International Journal of Automation and Computing, vol. 4, no. 1, pp. 47-51, 2007. doi: 10.1007/s11633-007-0047-y
Citation: Sheng Chen, Xiao-Chen Yang, Lei Chen and Lajos Hanzo. Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems. International Journal of Automation and Computing, vol. 4, no. 1, pp. 47-51, 2007. doi: 10.1007/s11633-007-0047-y

Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems

doi: 10.1007/s11633-007-0047-y

Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems

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出版历程
  • 收稿日期:  2006-03-01
  • 修回日期:  2006-05-24
  • 刊出日期:  2007-01-15

Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems

doi: 10.1007/s11633-007-0047-y

摘要: A blind adaptive scheme is proposed for joint maximum likelihood (ML) channel estimation and data detection of single- input multiple-output (SIMO) systems.The joint ML optimisation over channel and data is decomposed into an iterative optimisation loop.An efficient global optimisation algorithm called the repeated weighted boosting search is employed at the upper level to optimally identify the unknown SIMO channel model,and the Viterbi algorithm is used at the lower level to produce the maximum likelihood sequence estimation of the unknown data sequence.A simulation example is used to demonstrate the effectiveness of this joint ML optimisation scheme for blind adaptive SIMO systems.

English Abstract

Sheng Chen, Xiao-Chen Yang, Lei Chen, Lajos Hanzo. Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(1): 47-51. doi: 10.1007/s11633-007-0047-y
引用本文: Sheng Chen, Xiao-Chen Yang, Lei Chen, Lajos Hanzo. Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(1): 47-51. doi: 10.1007/s11633-007-0047-y
Sheng Chen, Xiao-Chen Yang, Lei Chen and Lajos Hanzo. Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems. International Journal of Automation and Computing, vol. 4, no. 1, pp. 47-51, 2007. doi: 10.1007/s11633-007-0047-y
Citation: Sheng Chen, Xiao-Chen Yang, Lei Chen and Lajos Hanzo. Blind Joint Maximum Likelihood Channel Estimation and Data Detection for SIMO Systems. International Journal of Automation and Computing, vol. 4, no. 1, pp. 47-51, 2007. doi: 10.1007/s11633-007-0047-y
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