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引用次数: 41
摘要
在本文中,我们通过一种称为相对信息指数(relative Information Index, RII)[2]的相对效率度量来研究近似相干平均协方差矩阵[1]的充分性程度,用于估计多个宽带源的参数。首先,我们证明了在原始数据样本的渐近正态性条件下,所有窄带样本协方差矩阵都是最小充分的。导出了近似相干平均协方差矩阵的渐近分布及其相关的一阶和二阶统计量[1]。然后对统计数据和原始数据的费雪信息矩阵进行评估,以计算RII。
On the statistical sufficiency of the coherently averaged covariance matrix for the estimation of the parameters of wideband sources
In this paper we investigate the degee of sufficiency of the approximately coherently averaged covariance matrix [1] via a relative efficiency measure, termed the Relative Information Index (RII) [2], for the estimation of the parameters of multiple wideband sources. First, we prove that all the narrowband sample covariance matrices are minimal sufficient under the asymptotic normality condition of the raw data samples. The asymptotic distribution and its associated first- and second-order statistics of the approximately coherently averaged covariance matrix [1] are derived. The Fisher's Information matrices of the statistic and the raw data are then evaluated for the computation of the RII's.