期刊
IEEE ACCESS
卷 7, 期 -, 页码 47972-47981出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2909760
关键词
Bistatic MIMO radar; angle estimation; gain-phase error; parallel factor decomposition
资金
- Natural Science Foundation of Hainan Province [617059]
- National Natural Science Foundation of China [61701144, 61801076, 61861015]
- Program of Hainan Association for Science and Technology Plans to Youth RD Innovation [QCXM201706]
- scientic research projects of University in Hainan Province [Hnky2018ZD-4]
- Young Elite Scientists Sponsorship Program by CAST [2018QNRC001]
- Scientic Research Setup Fund of Hainan University [KYQD (ZR)1731]
This paper investigates the issue of angle and array gain-phase error estimation in multiple-input-multiple-output (MIMO) radar, and a tensor-based angle and gain-phase error estimation scheme is proposed. In our approach, the parallel factor (PARAFAC) decomposition is performed to estimate the transmit and receive direction matrices. Then the estimation of gain error can be obtained according to the relationship between the columns of direction matrices. After that, the linear feature of the phase in the additional well-calibrated array element is utilized to estimate the angles. Finally, by fully using the phase characteristics of all arrays, the phase error can be obtained. Our approach can remove the influence of error accumulation, and thus it has a superior angle and gain-phase error estimation performance, particularly under the condition of low signal-to-noise ratio (SNR). The numerical examples validate the superiority and effectiveness of the proposed scheme.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据