Transmit/Receive Spatial Smoothing with Improved Effective Array Aperture for Angle and Mutual Coupling Estimation in Bistatic MIMO Radar

Liu, Haomiao; Yang, Xiaojun; Wang, Rong; Jin, Wei; Jia, Weimin

doi:10.1155/2016/6271648

Cited by 2 publications

(2 citation statements)

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“…In this part, the low-dimensional virtual array aperture in Equation ( 7) is enlarged. According to [41,42], this is due to the Vandermonde-like structure of the direction matrix of ULA, which is centrosymmetric. With this property in mind, an augmented matrix of the received data is constructed.…”

Section: Virtual Array Aperture Expansionmentioning

confidence: 99%

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A Nyström-Based Low-Complexity Algorithm with Improved Effective Array Aperture for Coherent DOA Estimation in Monostatic MIMO Radar

Shao

2022

Remote Sensing

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In this paper, we propose a computationally efficient algorithm with improved effective aperture for coherent angle estimation in a monostatic multiple-input multiple-output (MIMO) radar. First, the direction matrix of MIMO radar is mapped into a low-dimensional matrix of virtual uniform linear array (ULA). Then, an augmented data expansion matrix with improved effective aperture is obtained by exploiting the Vandermonde-like structure of the low-dimensional direction matrix and radar cross section (RCS) matrix to enlarge the aperture of the array. Next, a unitary transformation is used to transform the augmented matrix into a real value and the approximate signal subspace of the augmented matrix is obtained by the Nyström method, which can reduce the computational complexity. The eigenvectors of the approximate signal subspace are used to reconstruct the matrix for direct decorrelation processing. Finally, direction of arrivals (DOAs) can be estimated faster by utilizing the unitary ESPRIT algorithm since the rotation invariance of the extended reconstruction matrix still exists. The proposed algorithm has a lower total computational complexity, and the estimation accuracy is improved by utilizing real values and enlarging the array aperture for estimation. Several theoretical analyses and simulation results confirm the effectiveness and advantages of the proposed method.

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Section: Virtual Array Aperture Expansionmentioning

confidence: 99%

“…A unitary transformation can be applied for achieving the real-valued data [42]. Compared with the calculation between complex-valued matrices, the calculation com-plexity of real-valued matrices is lower.…”

Section: Approximate Signal Subspace Estimationmentioning

confidence: 99%