标题： 基于因子分析的非均匀噪声中DOA估计的ECME算法 显示英文标题

标题： The ECME Algorithm Using Factor Analysis for DOA Estimation in Nonuniform Noise

摘要： 最大似然因子分析已被用于未知非均匀噪声中的到达方向估计，一些迭代方法已经被开发出来。 特别是Stoica和Babu提出的各向异性噪声因子分析（FAAN）方法具有出色的收敛特性。 在本文中，设计了期望/条件最大化要么（ECME）算法，这是期望最大化算法的扩展，其在每次迭代中的计算复杂度与FAAN方法几乎相同。 然而，数值结果表明，ECME算法具有更快的稳定收敛性和更高的计算效率。 显示英文摘要

摘要： Maximum likelihood factor analysis has been used for direction of arrival estimation in unknown nonuniform noise and some iterative approaches have been developed. In particular, the Factor Analysis for Anisotropic Noise (FAAN) method proposed by Stoica and Babu has excellent convergence properties. In this letter, the Expectation/Conditional Maximization Either (ECME) algorithm, an extension of the expectation-maximization algorithm, is designed, which has almost the same computational complexity at each iteration as the FAAN method. However, numerical results show that the ECME algorithm yields faster stable convergence and is computationally more efficient.