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

Author

Fu, Yinfei ; Tian, Zhi

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI

Volume

16

Issue

8

fYear

2009

Firstpage

655

Lastpage

658

Abstract

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.

Keywords

direction-of-arrival estimation; sensor fusion; signal sources; telecommunication network topology; time-of-arrival estimation; wireless sensor networks; Cramer-Rao bound; global position estimation; hybrid TOA-DOA-based location estimation; linear state fusion; network topology; optimal measurement fusion; signal source; wireless sensor network; Cramer–Rao Bound (CRB); DOA; TOA; data fusion; positioning; wireless sensor networks;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2009.2021323

Filename

4838824