未知信源数量DOA估计方法

DOA Estimation without Knowing the Number of Sources

针对传统阵列天线来波方向(Direction of Arrival,DOA)估计算法需要准确获取信源数量的问题,提出了一种未知信源数量类多重信号分类(Multiple Signal Classification,MUSIC)DOA估计方法。首先根据阵列天线的多个快拍数据估计输入信号自相关矩阵;其次对信号自相关矩阵进行特征值分解,并使用重构相关矩阵的方式实现信号分量的抑制;最后结合传统MUSIC谱估计算法实现未知信源数量条件下的DOA估计。仿真实验表明,所提算法的复杂度较低,且DOA估计误差性能接近传统MUSIC算法。

To address the problem that the conventional DOA(Direction of Arrival)estimation algorithm needs to accurately estimate the number of sources,a MUSIC-like DOA estimation method without knowing the number of sources is proposed.First,the autocorrelation matrix of the input signal is estimated according to the multiple snapshot data of the array antenna.Then,the signal autocorrelation matrix is eigenvalue decomposed,and the signal component is suppressed by reconstructing the autocorrelation matrix.Finally,combined with the conventional MUSIC spectral estimation algorithm,the DOA estimation without knowing the number of sources is achieved.The simulation results indicate that the complexity of the proposed algorithm is low and the DOA estimation accuracy is close to the conventional MUSIC algorithm.