电子学报Issue(9)：1696-1704,9.DOI:10.3969/j.issn.0372-2112.2015.09.004
多子阵互耦影响下的非圆信号自校正算法
Auto-Calibration Method for Noncircular Sources in the Presence of Mutual Coupling of Multiple Subarrays
摘要
Abstract
The direction-of-arrival (DOA)estimation method for noncircular sources with maximum noncircularity rate in multiple subarrays is proposed when there exists mutual coupling between sensors of each subarray.Based on the banded and sym-metric Toeplitz character of the coupling matrix of uniform linear arrays (ULAs)and the block diagonal character of the coupling matrix of multiple subarrays,the proposed method can avoid multidimensional search and iterative computation like the conventional rank reduction estimator (RARE).We extend the data model by using the noncircular feature of the sources,and thus the proposed method outperforms the conventional RARE in terms of estimation accuracy and the number of sources that can be distinguished. The performance study provides a necessary condition for unique estimation,and the expression of noncircular Gaussian Cramér-Rao bound (CRB)matrix for DOAs is presented.The simulation results illustrate that the proposed algorithm is more robust than the conventional RARE with respect to lower signal-to-noise ratio and fewer number of samplings.关键词
多子阵/互耦/波达方向估计/最大非圆率信号/克拉美罗界Key words
multiple subarrays/mutual coupling/DOA estimation/noncircular signal with maximum noncircularity rate/CRB分类
信息技术与安全科学引用本文复制引用
尹洁昕,吴瑛,王鼎..多子阵互耦影响下的非圆信号自校正算法[J].电子学报,2015,(9):1696-1704,9.基金项目
国家自然科学基金（No．61201381）；信息工程学院未来发展基金 （）
