Stochastic Cramer-Rao bound for direction estimation in unknown noise fields

被引：53

作者：

Gershman, AB ^{[1
]}

Stoica, P

Pesavento, M

Larsson, EG

机构：

[1] McMaster Univ, Commun Res Lab, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada

[2] Uppsala Univ, Dept Syst & Control, SE-75103 Uppsala, Sweden

来源：

IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION | 2002年 / 149卷 / 01期

关键词：

D O I：

10.1049/ip-rsn:20020124

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The stochastic Cramer-Rao bound (CRB) plays an important role in array processing because several advanced high-resolution direction-of-arrival (DOA) estimation methods are known to achieve this bound asymptotically. In the paper, the stochastic CRB on the DOA estimation accuracy is studied in the general case of an arbitrary unknown noise field parameterised by a vector of unknowns. Explicit closed-form expressions for the CRB are derived and its properties are examined theoretically and by practically relevant numerical examples.

引用

页码：2 / 8

页数：7