稀疏贝叶斯假设检验准则下的二维波达方向估计

2D direction-of-arrival estimation by sparse Bayesian hypothesis testing criterion

为了降低均匀圆阵列二维波达方向估计的计算量,提出一种基于稀疏贝叶斯假设检验的波达方向估计算法。根据"粗扫描"+"细扫描"思想,将角度空间重新构建新的冗余字典,运用贪婪类算法粗略构造新的稀疏重构模型,结合稀疏贝叶斯假设检验准则,快速求解超参数,实现二维波达角的估计。实验结果表明,该算法具有较高的估计精度以及较好的检测性能。

In order to reduce the calculation cost on the circular array,a fast estimation method for 2D directions-of-arrival is proposed.The algorithm reconstructs the redundant dictionary based on the coarse scan and fine scan steps.It reconstructs the sparse model by the greedy algorithm.Then the sparse Bayesian hypothesis testing criterion is combined for solving the hyper parameters to get the impinge angels of sources.Experimental results show that this proposed algorithm is a kind of high estimation precision and detection performance algorithm.