Cramer-Rao Bounds for Hybrid TOA/DOA-Based Location Estimation in Sensor Networks

被引：38

作者：

Fu, Yinfei ^{[1
]}

Tian, Zhi ^{[1
]}

机构：

[1] Michigan Technol Univ, Dept Elect & Comp Engn, Houghton, MI 49931 USA

来源：

IEEE SIGNAL PROCESSING LETTERS | 2009年 / 16卷 / 08期

基金：

美国国家科学基金会;

关键词：

Cramer-Rao Bound (CRB); data fusion; DOA; positioning; TOA; wireless sensor networks; PERFORMANCE;

D O I：

10.1109/LSP.2009.2021323

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：

This letter derives the Cramer-Rao Bound (CRB) for source location estimation using joint time-/direction-of-arrival (TOA/DOA) measurements collected in a wireless sensor network setup. Each sensor is capable of measuring both TOA and DOA from a signal source, which enables it to estimate the source's location individually. Data fusion is then employed to reach a global position estimate. For both optimal measurement fusion and linear state fusion, we derive the CRBs to assess the attainable positioning accuracy, which shed light on the impact of network topology and sensor selection on localization accuracy.

引用

页码：655 / 658

页数：4

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