A numerical solution for multichannel detection

  • Authors:
  • Antonia Oya;Jesús Navarro-Moreno;Juan C. Ruiz-Molina

  • Affiliations:
  • Department of Statistics and Operations Research, University of Jaén, Jaén, Spain;Department of Statistics and Operations Research, University of Jaén, Jaén, Spain;Department of Statistics and Operations Research, University of Jaén, Jaén, Spain

  • Venue:
  • IEEE Transactions on Communications
  • Year:
  • 2009

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Abstract

A numerical approach to the vector signal detection problem is proposed by using an approximate series representation for vector complex-valued random processes. This technique allows us to provide computationally feasible suboptimum receivers for the problem of detecting an improper or proper complex signal in additive white noise. Its implementation requires the knowledge of the correlation matrix of the vector process involved. The performance of the technique devised is assessed by some communication examples.