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DOA Estimation Method for Wideband Signals Based on Multiple Small Aperture Subarrays

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Intelligent Data Analysis and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 370))

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Abstract

In direction of arrival (DOA) estimation, the single small aperture subarray is hard to meet the requirement of the accuracy for multiple targets, a new method for wideband signals based on multiple small aperture subarrays is proposed to this problem. First, the signals of every frequency are focused, then a modified minimum variance estimator (MVM) is employed for DOA estimation, the method doesn’t need the accurate position information among each subarray, consequently the error caused by position perturbation is avoided, and it has a preferable robustness to gain and phase intersubarray distortions, the performance has been proved by simulation results at last.

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Acknowledgments

This work is supported by National Natural Science Foundation of China (no. 61201399), China Postdoctoral Science Foundation (no. 2012M511003), Project of Science and Technology of Heilongjiang Provincial Education Department (no. 12541638), Youth Foundation of Heilongjiang University (no. 201026), and Startup Fund for Doctor of Heilongjiang University.

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Authors and Affiliations

  1. Electronic Engineering, Heilongjiang University, Harbin, Heilongjiang, China

    Jiaqi Zhen & Zhifang Wang

Authors
  1. Jiaqi Zhen
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  2. Zhifang Wang
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Corresponding author

Correspondence to Jiaqi Zhen .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Fujian University of Technology, Fujian, China

    Xin Hua Jiang

  3. Department of Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Václav Snášel

  4. Fujian University of Technology, Fujian, China

    Jeng-Shyang Pan

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© 2015 Springer International Publishing Switzerland

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Zhen, J., Wang, Z. (2015). DOA Estimation Method for Wideband Signals Based on Multiple Small Aperture Subarrays. In: Abraham, A., Jiang, X., Snášel, V., Pan, JS. (eds) Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-319-21206-7_34

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  • DOI: https://doi.org/10.1007/978-3-319-21206-7_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21205-0

  • Online ISBN: 978-3-319-21206-7

  • eBook Packages: EngineeringEngineering (R0)

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