An evolutionary approach for joint blind multichannel estimation and order detection

Fangjiong CHEN*, Sam KWONG, Gang WEI

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

2 Citations (Scopus)


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.

Original languageEnglish
Article number978074
Pages (from-to)757-765
Number of pages9
JournalEurasip Journal on Applied Signal Processing
Issue number8
Early online date21 Jul 2003
Publication statusPublished - Jul 2003
Externally publishedYes


  • Blind signal identification
  • Genetic algorithms
  • SIMO


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