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Subspace Algorithm Based on MSWF in the Presence of Impulsive Noise

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Intelligent Science and Intelligent Data Engineering (IScIDE 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7202))

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Abstract

An improved method for direction-of-arrival (DOA) estimation algorithm based on Multistage Wiener Filters (MSWF) in the presence of impulsive noise is proposed in this paper. There are many DOA estimation algorithms based on Multistage Wiener Filters, but all of them must satisfy the requirement of the noise is Gaussian white noise, which can not the accurately in the presence of impulsive noise. The improved method has good performance at DOA estimate when the noise is impulsive noise, and some computer simulations show it.

This Work Supported by the Chinese Nature Science Foundation under Grant (No. 61071140).

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Author information

Authors and Affiliations

  1. Dept. Electronic Engineering, Aviation University of Air Force, Changchun, Jilin, China

    Linhong Yao, Ying Gao & Yu Shi

  2. College of Communication Engineering, JILIN University, Changchun, Jilin, China

    Hong Jiang

Authors
  1. Linhong Yao
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  2. Hong Jiang
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  3. Ying Gao
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  4. Yu Shi
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Editor information

Editors and Affiliations

  1. School of Computer Science, Northwestern Polytechnical University, West Youyi Road No. 127, 710072, Xi’an, China

    Yanning Zhang  & Ying Li  & 

  2. National Key Laboratory for Novel Software Technology, Nanjing University, 210046, Nanjing, China

    Zhi-Hua Zhou

  3. Department of Automation, Tsinghua University, 100084, Beijing, China

    Changshui Zhang

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© 2012 Springer-Verlag Berlin Heidelberg

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Yao, L., Jiang, H., Gao, Y., Shi, Y. (2012). Subspace Algorithm Based on MSWF in the Presence of Impulsive Noise. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_30

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  • DOI: https://doi.org/10.1007/978-3-642-31919-8_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31918-1

  • Online ISBN: 978-3-642-31919-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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