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Highly Accurate Multi-Invariance ESPRIT for DOA Estimation with a Sparse Array

Author

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  • Chen Gu
  • Hong Hong
  • Yusheng Li
  • Xiaohua Zhu
  • Jin He

Abstract

This paper proposes a multi-invariance ESPRIT-based method for estimation of 2D direction (MIMED) of multiple non-Gaussian monochromatic signals using cumulants. In the MIMED, we consider an array geometry containing sparse - shaped diversely polarized vector sensors plus an arbitrarily-placed single polarized scalar sensor. Firstly, we define a set of cumulant matrices to construct two matrix blocks with multi-invariance property. Then, we develop a multi-invariance ESPRIT-based algorithm with aperture extension using the defined matrix blocks to estimate two-dimensional directions of the signals. The MIMED can provide highly accurate and unambiguous direction estimates by extending the array element spacing beyond a half-wavelength. Finally, we present several simulation results to demonstrate the superiority of the MIMED.

Suggested Citation

  • Chen Gu & Hong Hong & Yusheng Li & Xiaohua Zhu & Jin He, 2019. "Highly Accurate Multi-Invariance ESPRIT for DOA Estimation with a Sparse Array," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-7, February.
    • Handle: RePEc:hin:jnlmpe:5325817
    DOI: 10.1155/2019/5325817
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