STATISTICAL-ANALYSIS OF DECENTRALIZED MUSIC

被引：5
|
作者：
SODERSTROM, T
STOICA, P
机构：
[1] Automatic Control and Systems Analysis Group, Department of Technology, Uppsala University, Uppsala, S-751 03
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 1992年 / 11卷 / 04期
关键词：
D O I：
10.1007/BF01219502
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
For large-array processing problems there is a need for decentralized methods that are computationally efficient. A decentralized variant of the MUSIC algorithm, proposed in the literature, is here analysed from a statistical viewpoint, assuming that a large number of snapshots is available. As intuitively expected, the centralized MUSIC algorithm is more accurate than both the local and decentralized versions of MUSIC. More surprisingly, the decentralized variant of MUSIC is not always more accurate than the local MUSIC estimates. The theoretical analysis is supported by numerical examples.
引用
收藏
页码：443 / 454
页数：12
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