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Link to original content: https://doi.org/10.1587/transfun.E100.A.733
GDOP and the CRB for Positioning Systems
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Regular Section
GDOP and the CRB for Positioning Systems
Wanchun LI, Ting YUAN, Bin WANG, Qiu TANG, Yingxiang LI, Hongshu LIAO
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Keywords: geometric dilution of precision, Cramer-Rao bound, positioning systems, Fisher information matrix
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2017 Volume E100.A Issue 2 Pages 733-737

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Abstract

In this paper, we explore the relationship between Geometric Dilution of Precision (GDOP) and Cramer-Rao Bound (CRB) by tracing back to the original motivations for deriving these two indexes. In addition, the GDOP is served as a sensor-target geometric uncertainty analysis tool whilst the CRB is served as a statistical performance evaluation tool based on the sensor observations originated from target. And CRB is the inverse matrix of Fisher information matrix (FIM). Based on the original derivations for a same positioning application, we interpret their difference in a mathematical view to show that.

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© 2017 The Institute of Electronics, Information and Communication Engineers
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