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Design Signal Detection Project of MIMO Communication Systems Based on Improved Grover Algorithm

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Green Communications and Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 113))

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Abstract

The signal detection scheme of multiple inputs multiple output (MIMO) communication system is introduced, and the existing problems of Grover algorithm is analyzed and improved. The signal detection scheme of MIMO system based on Grover algorithm and improved Grover algorithm is developed, and Grover algorithm is applied to find the minimum value in order to decide the sending sequence. In order to test the efficiency and reliability of this algorithm, the analysis and comparison between Grover algorithm, improved Grover algorithm and other traditional algorithms are made by MATLAB simulation. Experimental results show that it can reduce the complexity, while achieving the same performance of the traditional optimum detection algorithms.

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Author information

Authors and Affiliations

  1. Hebei University of Science and Technology, Institute of Information Science and Engineering, Shijiazhuang, 050026, Hebei Province, China

    Lu Xin-Bo

Authors
  1. Lu Xin-Bo
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Corresponding author

Correspondence to Lu Xin-Bo .

Editor information

Editors and Affiliations

  1. , Department of Electronic Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China, People's Republic

    Yuhang Yang

  2. , Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore

    Maode Ma

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© 2012 Springer Science+Business Media B.V.

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Xin-Bo, L. (2012). Design Signal Detection Project of MIMO Communication Systems Based on Improved Grover Algorithm. In: Yang, Y., Ma, M. (eds) Green Communications and Networks. Lecture Notes in Electrical Engineering, vol 113. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2169-2_2

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  • DOI: https://doi.org/10.1007/978-94-007-2169-2_2

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2168-5

  • Online ISBN: 978-94-007-2169-2

  • eBook Packages: EngineeringEngineering (R0)

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