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DOA Estimation Algorithm Based on Compressed-Sensing

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Communications, Signal Processing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 202))

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Abstract

A novel kind of method using in the DOA estimate of array signal processing is proposed. This method is based on constructing matrix with random selection of the rows of DFT transformation matrix. Such matrix satisfies the RIP condition (restricted isometry property). Due to the sparsity of space signal, the amount of array sensor is reduced significantly, which results in a lower complexity of the array system. SVD decomposition is used in processing the sampling signal to minimize its dimension and the final performance is much better than traditional algorithms.

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References

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Author information

Authors and Affiliations

  1. School of Electronic Engineering, UESTC, Cheng Du, 611731, China

    Yao Luo & Qun Wan

Authors
  1. Yao Luo
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  2. Qun Wan
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Corresponding author

Correspondence to Yao Luo .

Editor information

Editors and Affiliations

  1. University of Texas at Arlington, 416 Yates St, Rm 518, Box 19016, Arlington, 76019-0016, Texas, USA

    Qilian Liang

  2. College of Physical and Electronic Infor, Tianjin Normal University, Bingshui West Road, XiQing District, Tianjin, 300387, China, People's Republic

    Wei Wang

  3. College of Physical and Electronic Infor, Tianjin Normal University, Bingshui West Road, XiQing District, Tianjin, 300387, China, People's Republic

    Jiasong Mu

  4. School of electronic engineering, University of Electronic Science and Tec, Xiyuan Road, Gaoxin District, Chengdu, 611731, China, People's Republic

    Jing Liang

  5. College of Physical and Electronic Infor, Tianjin Normal University, Bingshui West Road, XiQing District, Tianjin, 300387, China, People's Republic

    Baoju Zhang

  6. School of Electronic Engineering, University of Electronic Science and Tec, Xiyuan Road, Gaoxin district, Chengdu, 611731, China, People's Republic

    Yiming Pi

  7. School of Information and Communication, Beijing University of Posts and Telecomm, Xitucheng Road 10, Beijing, 100876, China, People's Republic

    Chenglin Zhao

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© 2012 Springer Science+Business Media New York

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Luo, Y., Wan, Q. (2012). DOA Estimation Algorithm Based on Compressed-Sensing. In: Liang, Q., et al. Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 202. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5803-6_46

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  • DOI: https://doi.org/10.1007/978-1-4614-5803-6_46

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-5802-9

  • Online ISBN: 978-1-4614-5803-6

  • eBook Packages: EngineeringEngineering (R0)

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