Paper Info
Title
Error Analysis on RSS Range-Based Localization Based on General Log-Distance Path Loss Model
Abstract
Received Signal Strength (RSS) is considered to be a promising measurement for indoor positioning. Many RSS range-based localization methods have been proposed due to the convenience and low cost of RSS measurements. However, a fundamental problem has not been answered, that is, how accurate are these methods? We think a key reason leading to this situation is the inappropriate assumption on RSS range models and measurement errors, which results in oversimplified analysis on those methods. In this paper, we use a more general range model and recognize the Generalized Least Square (GLS) method as an optimal estimator whose estimation error equals to the Cramer-Rao lower bound (CRLB). Through mathematical, techniques, we derive the analytic expression of the localization error for the GLS method, which reveals the key factors that affect the localization accuracy. Further studies on the minimal localization error disclose the proportional relationship between the localization accuracy and the above key factors.
Year
DOI
Venue
2018
10.1109/MASS.2018.00071
2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)
Keywords
Field
DocType
Received Signal Strength, Generalized Least Squares, Error Analysis, Cramér-Rao Lower Bound
Cramér–Rao bound,Least squares,Upper and lower bounds,Computer science,Algorithm,Generalized least squares,Log-distance path loss model,RSS,Observational error,Estimator,Distributed computing
Conference
ISSN
ISBN
Citations 
2155-6806
978-1-5386-5581-8
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Wei Li1498.19
Zimu Yuan294.61
Shuhui Yang355131.41
Wei Zhao43532404.01