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Fast and Accurate Single-Snapshot DOA Estimation: Iterative Interpolated Approaches | IEEE Journals & Magazine | IEEE Xplore

Fast and Accurate Single-Snapshot DOA Estimation: Iterative Interpolated Approaches


Abstract:

Estimating the direction of arrival (DOA) of a single source signal from a single observation of an array data still plays an important part in practical application scen...Show More

Abstract:

Estimating the direction of arrival (DOA) of a single source signal from a single observation of an array data still plays an important part in practical application scenarios. To address the problem, this letter proposes two iterative, fast, and accurate approaches, namely, the Q-shift-based DOA estimation algorithm (QS-DOAEA) and the tradeoff between A&M and Q-shift-based DOA estimation algorithm (TAQ-DOAEA). QS-DOAEA adopts the interpolation of shifted discrete Fourier transform (DFT)coefficients to iteratively obtain the near-optimal estimation. TAQ-DOAEA employs the error function by simultaneously mixing the q -shifted and half-shifted DFT coefficients, which only requires two iterations. Numerical results reveal that QS-DOAEA achieves significant improvement in terms of estimation accuracy and TAQ-DOAEA expedites the convergence. The proposed estimation algorithms demonstrate that they have an asymptotic variance that is at least 1.0013 times the asymptotic Cramér–Rao bound (ACRB), and provide more than 80\times reduction in the computational cost, compared to the baseline method. All our proposed algorithms and code are available at https://github.com/jn-z/.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 20)
Article Sequence Number: 3505005
Date of Publication: 06 June 2023

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