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Low Complexity MIMO Receivers pp 51–90Cite as

Successive Interference Cancellation-Based MIMO Detection

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Abstract

It has been shown that the optimal performance and low complexity can be obtained by the ML detection and linear detection methods, respectively.

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Notes

  1. 1.

    Obtain \(\bar{{\mathbf {s}}}_2\) with the observation of \(\mathbf {z}\) as \(\bar{{\mathbf {s}}}_2 = \arg \max _{{\mathbf {s}}_2} \Pr ({\mathbf {s}}_2| \mathbf {z})\).

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Beihang University, Beijing, People’s Republic of China

    Lin Bai

  2. School of Information and Communications, Gwangiu Institute of Science and Technology (GIST), Gwangiu, Korea

    Jinho Choi

  3. Institute of China Electronic System Engineering, Beijing, People’s Republic of China

    Quan Yu

Authors
  1. Lin Bai
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  2. Jinho Choi
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  3. Quan Yu
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Correspondence to Lin Bai .

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© 2014 Springer International Publishing Switzerland

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Bai, L., Choi, J., Yu, Q. (2014). Successive Interference Cancellation-Based MIMO Detection. In: Low Complexity MIMO Receivers. Springer, Cham. https://doi.org/10.1007/978-3-319-04984-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-04984-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04983-0

  • Online ISBN: 978-3-319-04984-7

  • eBook Packages: EngineeringEngineering (R0)

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