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DOA Estimation of Many Groups of Coherent Sources under Nonstationary Noise

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 127))

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Abstract

A study on the method of direction of arrival (DOA) estimation for many groups of coherent and uncorrelated sources under nonstationary noise fields is described in this paper. The proposed algorithm can separate the uncorrelated and coherent sources by making use of oblique projection, and it uses fewer sensors when estimating the same sources compared with the conventional methods. Further more, the effect of the nonstationary noise is eliminated because it is translated into white noise using improved Toeplitz matrix. At the same time, the performance of many algorithms is compared by simulation, the effectiveness and accuracy of the proposed algorithm is verified.

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Authors and Affiliations

  1. School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China

    Huijing Dou, Jianchao Shi & Guopeng Li

Authors
  1. Huijing Dou
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  2. Jianchao Shi
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  3. Guopeng Li
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Corresponding author

Correspondence to Huijing Dou .

Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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Dou, H., Shi, J., Li, G. (2012). DOA Estimation of Many Groups of Coherent Sources under Nonstationary Noise. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25769-8_12

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  • DOI: https://doi.org/10.1007/978-3-642-25769-8_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25768-1

  • Online ISBN: 978-3-642-25769-8

  • eBook Packages: EngineeringEngineering (R0)

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