An Improved ESPRIT-like Algorithm for Coherent Signal and Its Application for 2-D DOA Estimation

Liu, Liguo; Gai, Yibing; Wang, Haisong; Ding, Ge

doi:10.1109/isape.2006.353378

Cited by 3 publications

(1 citation statement)

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“…Matrix reconstruction technology [14,15] is another type of method used to solve the problem of coherent signal sources, [15] proposed an eigenvector method (EVM), by selecting the largest feature value corresponding eigenvectors to construct a full-rank forward and backward matrix. [16,17] proposed a singular value decomposition (SVD) algorithm, while [18,19] achieved decoherence by constructing the data receiving matrix into a Toeplitz matrix.…”

Section: Introductionmentioning

confidence: 99%

Fast and Accurate Approach for DOA Estimation of Coherent Signals

Liu

Cao

et al. 2022

Wireless Communications and Mobile Computing

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An algorithm for estimation of direction of arrival (DOA) based on QR decomposition is proposed for coherent signals in this paper. When coherent is present, the rank of the signal covariance matrix is generally less than the signal number, making the estimation of the signal or noise subspace inaccurate. Therefore, we need to eliminate the spatial covariance matrix rank loss. According to the idea of matrix reconstruction, we try to construct three different data matrices, one is the signal covariance matrix, the other is the eigenvector reconstruction matrix of the signal covariance matrix, and the other is reconstructed matrix with the addition of spatial smoothing technology. Based on the resulting data matrix, whereafter, QR decomposition with the iteratively weighted least squares (IWLS) as solver is proposed to reduce the computational complexity of DOA estimation. Compared with other existing algorithms, the simulation results show that our method has high accuracy and great increase in the computational efficiency.

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