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Joint number and DOA estimation via the eigen-beam mCapon method for closely spaced sources

一种信源数和 DOA 联合估计的特征波束 mCapon 方法

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摘要

创新点

信源数和波达方向(DOA)是阵列信号处理领域两个重要的估计参数. 虽然目前己经提出了一些解决方案, 但当信源入射方向在空间上临近且功率差较大时, 由于强弱信号之间的相互影响, 信源数及其 DOA 估计性能急剧变差. 本文针对大功率差下空间临近信源的参数估计问题, 创新性地提出一种基于特征波束 mCapon(EB-mCapon 方法, 该方法不但能够实现信源数与 DOA 的联合估计, 而且与传统的估计方法相比, 提高了估计性能. 上述工作现有文献均没有涉及, 本文工作丰富了现有信源数和 DOA 的估计理论及其应用, 并具备很强的工程应用前景.

本文主要创新点如下:

  1. 1.

    首次提出了基于特征波束 mCapon(EB-mCapon 的阵列参数估计新方法, 详细分析了方法的估计原理和理论表达式, 给出完整的实现流程;

  2. 2.

    EB-Capon 方法通过简单的门限比较和子空间处理可联合获取大功率差下空间临近信源的信源数和各信源 DOA 的准确估计;

  3. 3.

    与典型的阵列信号估计方法相比, EB-mCapon 方法在信源数和 DOA 方面的估计性能均超越了传统方法.

  4. 4.

    基于详细的性能仿真试验, 文章分析讨论了 EB-mCapon 方法对大功率差下空间临近信源的适用性及 m 取值的优化问题, 为 EB-mCapon 的工程应用奠定基础.

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References

  1. Van Trees H L. Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory. New York: John Wiley & Sons Inc., 2002

    Book  Google Scholar 

  2. Engin T, Benjamin F. Classical and Modern Direction-of-Arrival Estimation. Burlington: Elsevier Inc., 2009

    Google Scholar 

  3. Haddadi F, Mohammadi M M, Nayebi M M, et al. Statistical performance analysis of MDL source enumeration in array processing. IEEE Trans Signal Process, 2010, 58: 452–457

    Article  MathSciNet  Google Scholar 

  4. Zhou Q C, Gao H T, Wang F. A high resolution DOA estimation method without estimation the number of sources. Prog Electromagn Res C, 2012, 25: 233–247

    Article  Google Scholar 

  5. Zhang T L, Liu Y, Liao G S. Algorithm on high resolution DOA estimation without sources number. J Electron Inf Technol, 2008, 30: 375–378

    Article  Google Scholar 

  6. Meng C Z, Xu J, Xia X G, et al. MIMO-SAR waveforms separation based on virtual polarization filter. Sci China Inf Sci, 2014, 58: 042301

    Google Scholar 

  7. Gao Y, Xu J, Jia X, et al. A novel DOA estimation method for closely spaced multiple sources with large power differences. In: Proceedings of IEEE International Radar Conference, Arlington, 2015. 1276–1279

    Google Scholar 

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Authors and Affiliations

  1. Academy of Equipment, Beijing, 101416, China

    Yang Gao & Xin Jia

  2. School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China

    Jia Xu

Authors
  1. Yang Gao
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  2. Jia Xu
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  3. Xin Jia
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Correspondence to Jia Xu.

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Gao, Y., Xu, J. & Jia, X. Joint number and DOA estimation via the eigen-beam mCapon method for closely spaced sources. Sci. China Inf. Sci. 58, 1–3 (2015). https://doi.org/10.1007/s11432-015-5445-0

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  • DOI: https://doi.org/10.1007/s11432-015-5445-0

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