Paper Info
Title
On the existence of an MVU estimator for target localization with censored, noise-free binary detectors.
Abstract
The problem of target localization with censored, noise-free binary detectors is considered. In this setting only the detecting sensors report their locations to the fusion center. It is proven that if the radius of detection is unknown to the fusion center, a minimum variance unbiased (MVU) estimator does not exist. Also it is shown that when the radius is known the center of mass of the possible target region is the MVU estimator among estimators that are invariant under Euclidean motion. In addition, a sub-optimum estimator is introduced whose performance is close to the MVU estimator but is preferred computationally. Moreover, for the case when the radius of detection is unknown a sub-optimum estimator is proposed that performs close to the Clairvoyant estimator. Furthermore, minimal sufficient statistics have been provided, both when the detection radius is known and when it is not. Simulations confirmed that the derived MVU estimator outperforms several heuristic location estimators.
Year
DOI
Venue
2016
10.1016/j.phycom.2015.11.003
Physical Communication
Keywords
DocType
Volume
Localization,Censored data,German Tank,MVU estimator,Completeness,Sufficient statistics
Journal
18
Issue
ISSN
Citations 
P1
1874-4907
0
PageRank 
References 
Authors
0.34
25
2
Name
Order
Citations
PageRank
Arian Shoari1102.63
Alireza Seyedi210814.53