MUSIC, MAXIMUM-LIKELIHOOD, AND CRAMER-RAO BOUND
MUSIC, MAXIMUM-LIKELIHOOD, AND CRAMER-RAO BOUND
复制标题
DOI：
10.1109/29.17564
复制
发表时间：
1989-05-01
期刊：
影响因子：
--
通讯作者：
NEHORAI, A
中科院分区：
文献类型：
--
作者：
STOICA, P;NEHORAI, A
研究了 MUSIC 和 ML 方法的性能，并分析了它们的统计效率。推导了估计问题的 Cramer-Rao 界 (CRB)，并建立了 CRB 协方差矩阵的一些有用属性。还研究了 MUSIC 和 ML 估计器之间的关系。一项数值研究报告了 MUSIC 估计器对于使用均匀线性阵列查找两个平面波的方向问题的统计效率。包括结果的准确描述。< >
The performance of the MUSIC and ML methods is studied, and their statistical efficiency is analyzed. The Cramer-Rao bound (CRB) for the estimation problems is derived, and some useful properties of the CRB covariance matrix are established. The relationship between the MUSIC and ML estimators is investigated as well. A numerical study is reported of the statistical efficiency of the MUSIC estimator for the problem of finding the directions of two plane waves using a uniform linear array. An exact description of the results is included.< >