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International Conference in Communications, Signal Processing, and Systems

CSPS 2018: Communications, Signal Processing, and Systems pp 201–206Cite as

Low-Complexity Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 515))

Abstract

A new beamformer based on covariance matrix reconstruction is introduced. The essence of the new approach is to eliminate the desired signal component in the sample covariance matrix and thus complex integral operation is avoided in the procession of covariance matrix reconstruction. Besides, the actual array steering vector is estimated by a new technique. Contrary to other reference beamformers, simulation results demonstrate the effectiveness of our proposed method.

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References

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Acknowledgment

This work was supported in part by the Natural Science Foundation of Tianjin under Grant No. 18JCQNJC01500, by the National Key Research and Development Program of China under Grant No. 2017YFB0102501, by the Artificial intelligence Science and Technology Support planning Major project of Tianjin under Grant No. 17ZXRGGX00070, by the Tianjin Municipal Science and Technology Innovation Platform, Intelligent Transportation Coordination Control Technology Service Platform under Grant No. 16PTGCCX00150 and by the Scientific Research Program of Tianjin Municipal Education Committee under Grant No. JWK1609.

Author information

Authors and Affiliations

  1. School of Automobile and Transportation, Tianjin University of Technology and Education (TUTE), Tianjin, 300222, China

    Zhiwei Guan, Heping Shi & Lizhu Zhang

  2. School of Electronic Engineering, Tianjin University of Technology and Education (TUTE), Tianjin, 300222, China

    Ning Ma

Authors
  1. Zhiwei Guan
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  2. Heping Shi
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  3. Lizhu Zhang
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  4. Ning Ma
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Corresponding author

Correspondence to Heping Shi .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Physical and Electronic Information, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Guan, Z., Shi, H., Zhang, L., Ma, N. (2019). Low-Complexity Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_24

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  • DOI: https://doi.org/10.1007/978-981-13-6264-4_24

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6263-7

  • Online ISBN: 978-981-13-6264-4

  • eBook Packages: EngineeringEngineering (R0)

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