基于导向矢量信号的未知信源数DOA估计算法

针对多重信号分类（multiple signal classification, MUSIC)算法、旋转不变子空间（estimation of signal parameters via rotational invariance technique， ESPRIT)等大多数空间谱估计算法需要进行准确的信源数估计，且当信源数估计出现误差时性能易受影响的问题，提出了一种基于导向矢量信号的未知信源数波达方向（direction of arrival， DOA）估计算法。该算法通过引入导向矢量信号，以自适应波束形成中最大信噪比准则下最优权矢量对应的准最大信噪比作为来波方向估计参数，从而避免了大多数空间谱估计算法中的信源数估计并实现了各个信号来向的准确估计。对该方法进行了计算机仿真验证，仿真实验结果表明该算法是有效的。

DOA estimation for unknown sources number based onsteering vector signals

In order to solve the problem that most of the algorithms in spatial spectrum estimation, such as multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariance technique (ESPRIT), need to know the number of sources and their performance will degrade when the estimation of the signals number is incorrect, a direction of arrival (DOA) algorithm based on the steering vector signal is proposed. This method introduces the steering vector signal, and the inferior signal-to-noise ratio (SNR) corresponding to the optimum weight deduced by the maximum signal-to-interference and noise ratio (SINR) is served as the parameter of DOA .Thus the estimation of the signals number is avoided and the direction of each signal can be obtained exactly. Finally the validity of the algorithm is verified by simulation experiments. The simulation results show that the algorithm is effective.