摘要
文中基于特征矩阵联合近似对角化JADE(Joint Approximate Diagonalization of Eigen-matrices)的盲分离算法提出了一种DOA估计新方法。该方法对阵列流型矩阵进行了盲估计,并将阵列流型中的方向矢量看成是由多个复正弦信号线性混合而成,进而利用频谱分析的方法实现信号的DOA估计。实验结果表明:该方法在同等条件下完成同样的方位分辨要优于多重信号分类MUSIC(Multiple Signal Classification)的方法,而且还可以实现对相干信号源进行分辨。
A novel method based on JADE algorithm is proposed to estimate the DOAs.In the method,the array manifold is estimated by the JADE algorithm,and the DOA estimation,while realized by the spectral analysis method,while the steering vector in this array manifold is regarded as a linear combination of multiple compound sinusoids.Then,based on this method,the DOA estimation and the corresponding signals of targets are calculated.Experimental results show that this method is superior to the multiple signal classification （MUSIC） method for realizing the same resolution at the same situation.Moreover,it also could identify the coherent signals.
出处
《通信技术》
2010年第3期115-117,共3页
Communications Technology
基金
国家十一五预研项目(批准号:402040102)
关键词
特征矩阵联合近似对角化
DOA估计
多重信号分类
joint approximate diagonalization of eigen-matrices
direction-of-arrival estimation
multiple signal classification
