期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 10, 期 6, 页码 1478-1482出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2013.2260526
关键词
Angle estimation; gain-phase error; multiple-input multiple-output (MIMO) radar; trilinear decomposition
类别
资金
- China NSF [61201208, 61271327, 61071164]
- Jiangsu Planned Projects for Postdoctoral Research Funds [1201039C]
- China Postdoctoral Science Foundation [2012M521099]
- Research Innovation Program for College Graduates of Jiangsu Province [CXZZ13_0165]
- Aeronautical Science Foundation of China [20120152001]
- PAPD of Jiangsu Higher Education Institutions
- Funding for Outstanding Doctoral Dissertation in NUAA [BCXJ13-09]
- Qing Lan Project
- Fundamental Research Funds for the Central Universities [NS2013024, NZ2012010, kfjj120115, kfjj20110215]
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.
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