Paper Info
Title
ER-CRLB: An Extended Recursive Cramér-Rao Lower Bound Fundamental Analysis Method for Indoor Localization Systems.
Abstract
We propose an extended recursive Cramér-Rao lower bound (ER-CRLB) method as a fundamental tool to analyze the performance of wireless indoor localization systems. The ER-CRLB fully models the complicated indoor environment, e.g., the sequential position state propagation, the target-anchor geometry effect, the non-line-of-sight (NLOS) identification, and the related prior information. First, we us...
Year
DOI
Venue
2017
10.1109/TVT.2016.2553682
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Estimation,Wireless communication,Wireless sensor networks,Bayes methods,Buildings,Layout,Nonlinear optics
Cramér–Rao bound,Non-line-of-sight propagation,Computer science,Upper and lower bounds,Recursive Bayesian estimation,Electronic engineering,Fisher information,Hidden Markov model,Bayes estimator,Map matching
Journal
Volume
Issue
ISSN
66
2
0018-9545
Citations 
PageRank 
References 
4
0.56
18
Authors
4
Name
Order
Citations
PageRank
Yubin Zhao16914.59
Xiaopeng Fan259769.90
Z. Chen33443271.62
xiaofan li47912.44