论文部分内容阅读
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。
In this paper, a new method of DOA estimation is proposed based on blind separation algorithm of Joint Approximate Diagonalization of Eigen-matrices. The method performs blind estimation of the array flow pattern matrix and considers the directional vector in the array flow pattern as a linear mixture of multiple complex sinusoidal signals, and then uses the spectral analysis method to realize DOA estimation of signals. The experimental results show that this method is better than the multiple signal classification (MUSIC) method to accomplish the same azimuth resolution under the same conditions, and can also distinguish the coherent signal sources.