.png){kind=icon}
返回
Cramer-Rao Bounds for Underdetermined Source Localization
.png){kind=icon}
OA
AI
DOI：10.1109/LSP.2016.2569504.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Although Cramer-Rao Bounds (CRB) for direction-of-arrival (DOA) estimation have been extensively studied for decades, existing results are mainly applicable when there are fewer sources than sensors. In contrast, this letter considers an underdetermined signal model (more sources than sensors) and investigates conditions under which CRB exist. Necessary and sufficient conditions are derived for the associated Fisher information matrix to be nonsingular, which in turn, leads to closed-form expressions for the CRBs for underdetermined DOA estimation. These conditions highlight crucial roles played by the array geometry, as well as the correlation between source signals. The CRB for different array geometries are numerically compared both in the overdetermined and underdetermined settings.
Keyword:
Coprime arrays
Cramer-Rao bound (CRB)
direction-of-arrival (DOA) estimation
nested arrays
singular Fisher information
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
引用论文
CEOS.FR Experiments for the Crack Control of Concrete at an Early AgeCEOS.FR 实验针对混凝土早期裂缝控制.png)
CONCREEP 10
CONCREEP 10IF0
PREAI
分享收藏THE UNIFYING ROLE OF THE COARRAY IN APERTURE SYNTHESIS FOR COHERENT AND INCOHERENT IMAGINGPROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
分享收藏分享收藏
查看更多内容