Coprime arrays have been a topic of interest in the field of MIMO radar due to enhanced array aperture and mitigated mutual coupling effect, but existing holes in its coarray significantly reduces the number of degrees of freedom (DOFs) and degrades the angle estimation performance. In this paper, a coarray tensor completion method is presented for bistatic coprime MIMO radar to improve the angle estimation performance. Specifically, we first employ coarray interpolation on the holes in the sum-difference coarray (SDCA) generated by bistatic coprime MIMO radar. Then, we introduce transmission and reception spatial smoothing and construct an interpolated coarray tensor, and achieve effective tensor completion and an enhanced number of uDOFs followed by the nuclear norm minimization. Subsequently, the joint direction of arrival (DOA) and direction of departure (DOA) estimates are obtained by three-way tensor decomposition. Finally, numerical simulations are provided to verify the superiority of the proposed method in estimation accuracy.
Parallel nested arrays, as a new type of array structure, significantly improve the spatial resolution and array degrees of freedom of the system by combining two sub arrays with different spacing. This article conducts in-depth research on the two-dimensional direction estimation (DOA) algorithm based on unitary ESPRIT under parallel nested array structures. Firstly, a detailed analysis was conducted on the structural characteristics of parallel nested arrays, emphasizing their importance in improving DOA estimation performance. Secondly, the two-dimensional DOA estimation algorithm based on unitary ESPRIT was explored from the aspects of sub array output signal processing, cross covariance matrix construction, virtual array and dimensionality reduction estimation. Finally, the DOA estimation process was analyzed, providing an effective method for two-dimensional DOA estimation under parallel nested array structures.
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