Code-Aided Estimation and Detection on Time-Varying Correlated Mimo Channels: A Factor Graph Approach

This paper concerns channel tracking in a multiantenna context for correlated flat-fading channels obeying a Gauss-Markov model. It is known that data-aided tracking of fast-fading channels requires a lot of pilot symbols in order to achieve sufficient accuracy, and hence decreases the spectral efficiency. To overcome this problem, we design a code-aided estimation scheme which exploits information from both the pilot symbols and the unknown coded data symbols. The algorithm is derived based on a factor graph representation of the system and application of the sum-product algorithm. The sum-product algorithm reveals how soft information from the decoder should be exploited for the purpose of estimation and how the information bits can be detected. Simulation results illustrate the effectiveness of our approach.

• Publication year

  2006

• Venue

  EURASIP Journal on Advances in Signal Processing

• Publication date

  Unknown publication date

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers
  DOI 10.1155/ASP/2006/53250
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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