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  • Research Article
  • Open Access

An Evolutionary Approach for Joint Blind Multichannel Estimation and Order Detection

EURASIP Journal on Advances in Signal Processing20032003:978074

  • Received: 30 May 2001
  • Published:


A joint blind order-detection and parameter-estimation algorithm for a single-input multiple-output (SIMO) channel is presented. Based on the subspace decomposition of the channel output, an objective function including channel order and channel parameters is proposed. The problem is resolved by using a specifically designed genetic algorithm (GA). In the proposed GA, we encode both the channel order and parameters into a single chromosome, so they can be estimated simultaneously. Novel GA operators and convergence criteria are used to guarantee correct and high convergence speed. Simulation results show that the proposed GA achieves satisfactory convergence speed and performance.


  • genetic algorithms
  • SIMO
  • blind signal identification

Authors’ Affiliations

Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong
Department of Electronic Engineering, South China University of Technology, Wushan, Guangzhou, 510641, China


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