摘要
针对未知相关噪声情况下信源波达方向的估计,提出一种适用于均匀线阵的广义波达方向估计算法。该算法利用修正后的协方差差分算法,有效地消除了阵元间的相关噪声的影响。不同于以前的算法,提出的算法通过对接收数据的前后向空间平滑协方差矩阵进行共轭运算得到新的变换矩阵,因此修正后的协方差差分矩阵是个实部为零的厄米特矩阵,从而有效地降低了特征分解过程的计算量。本算法能解决相关噪声下,同时分辨相干与非相干信源的问题。理论分析和仿真结果均表明所提算法的有效性。
A generalized algorithm for direction-of-arrival （DOA） estimation under uniform linear array is proposed to aim at the DOA estimation under unknown correlated noise field. This proposed method, which emPloys the modified covariance differencing technique, can efficiently eliminate the effects of correlated noises on the array sensors. Unlike the previous method, however, the proposed algorithm obtains the new transformed matrix by taking the conjugate operation to the forward and backward spatial smoothing covariance matrix of the received data, so that the modified covariance differencing matrix which is a Hermitian matrix of zero real part can lower the computation load effectively during the eigenvalue decomposition. The new algorithm can resolve the problem of localising the correlated and uncorrelated signal sources at one time under the correlated noise field. Analyses and simulation results demonstrate the general algorithm possesses a good performance.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2008年第3期428-430,451,共4页
Systems Engineering and Electronics
关键词
波达方向估计
未知相关噪声
相干信号
差分矩阵
direction-of-arrival （DOA） estimation
unknown correlated noise
correlated signals
differencing matrix
