期刊
IEEE SIGNAL PROCESSING LETTERS
卷 25, 期 11, 页码 1710-1714出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2018.2872400
关键词
Array interpolation; coprime array; direction-of-arrival estimation; matrix recovery; off-grid
资金
- National Natural Science Foundation of China [61772467]
- Zhejiang Provincial Natural Science Foundation of China [LR16F010002]
- 973 Project [2015CB352503]
- Fundamental Research Funds for Central Universities [2017XZZX009-01]
In this letter, we propose a coprime array interpolation approach to provide an off-grid direction-of-arrival (DOA) estimation. Through array interpolation, a uniform linear array (ULA) with the same aperture is generated from the deterministic non-uniform coprime array. Taking the observed correlations calculated from the signals received at the coprime array, a gridless convex optimization problem is formulated to recover all the rows and columns of the unknown correlation matrix entries corresponding to the interpolated sensors. The optimized Hermitian positive semidefinite Toeplitz matrix functions as the covariance matrix of the interpolated ULA, which enables to resolve off-grid sources. Simulation results demonstrate that the proposed array interpolation-based DOA estimation algorithm achieves improved performance as compared to existing coarray-based DOA estimation algorithms in terms of the number of achievable degrees-of-freedom and estimation accuracy.
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