DocumentCode :
47479
Title :
On Using the Relative Configuration to Explore Cooperative Localization
Author :
Ping Zhang ; Qiao Wang
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume :
62
Issue :
4
fYear :
2014
fDate :
Feb.15, 2014
Firstpage :
968
Lastpage :
980
Abstract :
Cooperative localization differs from conventional localizations in using the measurements between the unknown nodes, which provide the relative location information of the nodes. This paper investigates cooperative localization by adopting the concept of relative configuration that describes the “shape” of the node network, without considering its absolute location, orientation, and/or scaling. Since the relative configuration is a non-Euclidean object, we introduce the Procrustes coordinates as a coordinate representation, suggest using the relative error as a coordinate independent error metric, and then derive the Cramér-Rao lower bound (CRLB) and a CRLB-type bound for the Procrustes coordinates and the relative error respectively. Three applications of the relative configuration are demonstrated: the first one gives the CRLB analysis for anchor-free localization; the second one discusses the optimal minimally constrained system (MCS) for deriving the absolute locations; and the third one refers to the anchor selection with consideration of anchor location uncertainty. These applications show the advantages of using the relative configuration to investigate cooperative localization.
Keywords :
cooperative communication; distance measurement; maximum likelihood estimation; mobile computing; statistical analysis; wireless sensor networks; CRLB-type bound; Cramér-Rao lower bound; Procrustes coordinates; anchor location uncertainty; anchor selection; anchor-free localization; cooperative localization; coordinate independent error metric; coordinate representation; maximum likelihood estimate; node network shape; nonEuclidean object; optimal minimally constrained system; relative configuration; relative error; relative location information; unknown node measurements; Accuracy; Distance measurement; Maximum likelihood estimation; Shape; Uncertainty; Anchor-free localization; Cramér-Rao lower bound (CRLB); anchor selection; maximum likelihood estimate (MLE); procrustes coordinates; relative error;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2013.2297680
Filename :
6701354
Link To Document :
بازگشت