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An Efficient Adaptive Channel Estimation Algorithm for MIMO OFDM Systems—Study of Doppler Spread Tolerance

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Abstract

In this paper we develop an adaptive MIMO channel estimation algorithm for space–time block coded OFDM systems. The presented algorithm is based on Expectation Maximization (EM) technique by decomposing the superimposed received signals into their signal components, and estimating the channel parameters of each signal component separately. We also study and compare our proposed EM-based algorithm with a previously introduced recursive-least-squares based algorithm for MIMO OFDM systems. At each iteration the EM algorithm decomposes the problem of multi-channel estimation into channel estimation for each transmit–receive link. In this paper we also study the Doppler spread tolerance of our proposed algorithm in a fast fading environment, and investigate how it affects the system BER performance.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, USA

    Haideh M. Karkhanechi & Bernard C. Levy

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  1. Haideh M. Karkhanechi
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  2. Bernard C. Levy
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Correspondence to Haideh M. Karkhanechi.

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Karkhanechi, H.M., Levy, B.C. An Efficient Adaptive Channel Estimation Algorithm for MIMO OFDM Systems—Study of Doppler Spread Tolerance. J Sign Process Syst Sign Image Video Technol 56, 261–271 (2009). https://doi.org/10.1007/s11265-008-0228-0

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  • DOI: https://doi.org/10.1007/s11265-008-0228-0

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