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Off-grid direction-of-arrival estimation using second-order Taylor approximation
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DOI：10.1016/j.sigpro.2022.108513.png)
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Abstract
En 中文
The problem of off-grid direction-of-arrival (DOA) estimation is investigated. We develop a grid-based method to jointly estimate the closest spatial frequency (the sine of DOA) grids, and the gaps between the estimated grids and the corresponding frequencies. By using a second-order Taylor approximation, the data model under the framework of joint-sparse representation is formulated. We point out an im-portant property of the signals of interest in the model, namely the proportionality relationship, which is empirically demonstrated to be useful in the sense that it increases the probability of the mixing matrix satisfying the block restricted isometry property. Simulation examples demonstrate the effectiveness and superiority of the proposed method against several state-of-the-art grid-based approaches.(c) 2022 Elsevier B.V. All rights reserved.
Keywords:
Block restricted isometry property (RIP)
Compressive sensing
Off -grid DOA estimation
Second-order Taylor approximation
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