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Channel Estimation Algorithms for OFDM-IDMA: Complexity and Performance

Publiceringsår: 2012
Språk: Engelska
Sidor: 1722-1732
Publikation/Tidskrift/Serie: IEEE Transactions on Wireless Communications
Volym: 11
Nummer: 5
Dokumenttyp: Artikel i tidskrift
Förlag: IEEE--Institute of Electrical and Electronics Engineers Inc.


Abstract in Undetermined

In this paper, a number of channel estimation algorithms for iterative receivers are compared for the case of an up-link orthogonal frequency division multiplexing interleave division multiple access (OFDM-IDMA) system. Both pilot based algorithms, used to obtain an initial estimate, as well as semi-blind decision-directed algorithms working as a component of the iterative receiver are considered. Algorithms performing either joint minimum mean square error (MMSE) channel estimation, or iterative estimation using space-alternating expectation maximization (SAGE), are evaluated. The considered algorithms differ in terms of complexity, as well as performance. The main contribution of this paper is to give an overview of different channel estimation approaches for OFDM-IDMA, where the complexity versus performance tradeoff is at the focal point. There is no single channel estimator providing the best tradeoff and our analysis shows how the system load (number of users) and the SNR influence the estimator choice.


  • Electrical Engineering, Electronic Engineering, Information Engineering
  • discrete prolate spheroidal (DPS) sequences
  • SAGE
  • maximization (EM)
  • expectation
  • algorithm complexity
  • Channel estimation


  • Telecommunication Theory-lup-obsolete
  • Radio Systems-lup-obsolete
  • ISSN: 1536-1276

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