Multiple-input Multiple-out Radar Robust Beamforming Under Unknown Array Mutual Coupling
Journal
2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering, ECICE 2023
ISBN
9798350314694
Date Issued
2023-01-01
Author(s)
Li, Yun Xiang
Abstract
We solved the performance degradation problem in adaptive beamforming for multiple-input multiple-output (MIMO) radar systems in the presence of mutual coupling. We developed a robust beamforming method for MIMO radar equipped with uniform linear arrays to deal with the above problem due to the unknown mutual coupling effect between antenna sensors. The proposed method optimally estimated the direction vectors of the interference signals to construct an interference-plus-noise correlation matrix required for beamforming. Based on the maximization of the output signal-to-interference plus noise power ratio (SINR) of a MIMO radar beamformer, we constructed a pseudo-correlation matrix by taking the sum of the inverse of the array data correlation and a pseudo-noise correlation matrix to enhance the capability of the MIMO radar beamformer on suppressing the background noise. As a result, the direction vector of each interference signal was estimated as a simple optimization problem with a quadratic function of the direction vector. Using an existing program package available online, the resulting optimization problem was easily solved. The optimal weight vector required for beamforming was obtained according to the well-known criteria of minimum-variance distortionless response. Simulation results validated the effectiveness of the proposed method as compared to the existing robust methods.
Subjects
adaptive beamforming | eigen decomposition | minimum-variance distortionless response | multiple-input multipleout | mutual coupling | radar beamformer
SDGs
Type
conference paper