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Based on the of FFT Algorithm the Minimum Mean Square Error Linear Equilibrium Algorithm

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Advances in Computer Science and Information Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 168))

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Abstract

The main purpose of the Joint Detection (JD) techniques is an accurately estimating the user’s signal, the difficulty lies in the system matrix inversion, so to find the fast inversion algorithms is the main key to make better the JD algorithms. This paper, it studies the new improved MMSE-BLE algorithm based block FFT, and through simulation that test and verify the algorithm’s performance. The improved fast algorithm higher operational efficiency, the improved fast algorithm reduces the computing magnitude and the computational complexity and better improving the system performances.

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References

  1. Nigam, I., Mallik, R.K.: A Joint Performance Measure for the Deeorrelating Multi-user Detector. IEEE Trans. Wireless Commune. 3(4), 1024–1030 (2004)

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Author information

Authors and Affiliations

  1. Tianjin Key Laboratory for Control Theory and Application in Complicated Systems, Tianjin University of Technology, Tianjin, China

    Hong He

  2. School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin, China

    Xin Yin

  3. Tianjin Mobile Communications Co., Ltd, Tianjin, China

    Tong Yang & Lin He

Authors
  1. Hong He
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  2. Xin Yin
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  3. Tong Yang
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  4. Lin He
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Corresponding author

Correspondence to Hong He .

Editor information

Editors and Affiliations

  1. Wuhan Section of ISER Association, Guangshan Road 76, Wuhan, 430072, China, People's Republic

    David Jin

  2. Researcher Association, Guangzhou Section, International Science & Education, Jinheng Road, Jinbi Garden 85-1102 144, Guang Zhou, China, People's Republic

    Sally Lin

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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He, H., Yin, X., Yang, T., He, L. (2012). Based on the of FFT Algorithm the Minimum Mean Square Error Linear Equilibrium Algorithm. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30126-1_93

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  • DOI: https://doi.org/10.1007/978-3-642-30126-1_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30125-4

  • Online ISBN: 978-3-642-30126-1

  • eBook Packages: EngineeringEngineering (R0)

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