Paper
3 January 2025 Angle estimation based on coarray tensor completion for bistatic coprime MIMO radar
Xin Lai, Qi Yuan, Xiaofei Zhang, Jianfeng Li
Author Affiliations +
Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 134421B (2025) https://doi.org/10.1117/12.3052930
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China
Abstract
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.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xin Lai, Qi Yuan, Xiaofei Zhang, and Jianfeng Li "Angle estimation based on coarray tensor completion for bistatic coprime MIMO radar", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 134421B (3 January 2025); https://doi.org/10.1117/12.3052930
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KEYWORDS
Multiple input multiple output

Radar

Interpolation

Matrices

Covariance matrices

Smoothing

Detector arrays

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