摘要
提出一种相干源存在情况下的波达方向估计新算法。利用阵列快拍数据构造数据矩阵,相关去噪后,通过奇异值分解获得低维信号子空间的估计,然后运用ESPRIT思想估计出波达方向。无论是否存在相干源,新算法均能有效估计出波达方向,并且无需角度搜索,运算量小。该算法虽基于一维线阵,但可直接推广到具有线性性质的二维平面阵,如L形阵、十字阵、双平行线阵等。
A new algorithm for direction finding in the presence of coherent signals is presented. By arranging the sampled data, a special data matrix is constructed. By using correlation vectors to eliminate the noise's influence, the signal subspace estimation is obtained by singular value decomposition (SVD) of the data matrix, then the direction parameters are estimated based on the ESPRIT method. Without spectral peak search and complex computation, the algorithm provides estimates of the directions of arrival (DOA), no matter there are coherent signals or not. The performance of the algorithm is illustrated by computer simulations.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第4期603-605,共3页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题 (60 472 0 97)
关键词
相干源
波达方向
矩阵分解
coherent signals
directions of arrival
matrix decomposition