181 / 2019-12-19 00:51:00
Two Nonparametric Iterative Approaches for Direction-of-Arrival Estimation Using Coprime Arrays
coprime array; direction-of-arrival estimation; nonparametric; degrees-of-freedom; IAA; SPICE
Draft Rejected
Zhen Chen / National University of Defense Technology, China
Chongyi Fan / National University of Defense Technology, China
Xiaotao Huang / National University of Defense Technology, China
Coprime arrays can improve resolution and increase degrees-of-freedom (DOFs) by exploiting the difference co-array. Based on coprime arrays, a number of sparsity-based approaches are developed to estimate the direction-of-arrival (DOA), but it's inevitable to specify an undetermined regularization parameter.
In this paper, we apply two nonparametric iterative approaches named, respectively, iterative adaptive approach (IAA) and sparse iterative covariance-based estimation approach (SPICE) to DOA estimation. Numerical experiments validate the effectiveness of the two nonparametric iterative algorithms.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

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  • Dec 31 2020

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IEEE Signal Processing Society
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Zhejiang University
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