A Joint Scheme for Angle and Array Gain-Phase Error Estimation in Bistatic MIMO Radar

• Published in: IEEE geoscience and remote sensing letters Vol. 10; no. 6; pp. 1478 - 1482
• Main Authors: Li, Jianfeng, Zhang, Xiaofei, Gao, Xin
• Format: Journal Article
• Language: English
• Published: IEEE 01.11.2013
• Subjects: Angle estimation; Antenna arrays; Arrays; Data models; Error analysis; Estimation; gain-phase error; Matrix decomposition; MIMO radar; multiple-input multiple-output (MIMO) radar; trilinear decomposition
• ISSN: 1545-598X; 1558-0571
• DOI: 10.1109/LGRS.2013.2260526

In this letter, we investigate the subject of joint angle and array gain-phase error estimation for bistatic multiple-input multiple-output radar, and propose a joint scheme for angle and array gain-phase error estimation based on trilinear decomposition. The estimations of transmit and receive direction matrices are primarily obtained via trilinear decomposition, after which the optimization problem for estimating array gain-phase errors and angles can be constructed. Array gain-phase error vectors are obtained by Lagrange multipliers, and the angles are estimated according to the estimated gain-phase errors. In contrast to the ESPRIT-like algorithm, the proposed method not only obtains automatically paired estimations of the angles but also has much better performance for angle and array gain-phase error estimation. Simulations verify the effectiveness of our approach.