Performance of ML Range Estimator in Radio Interferometric Positioning Systems

Author

Yue Zhang ; Wangdong Qi ; Guangxia Li ; Su Zhang

Author_Institution

PLA Univ. of Sci. & Technol., Nanjing, China

Volume

22

Issue

2

fYear

2015

fDate

Feb. 2015

Firstpage

162

Lastpage

166

Abstract

The radio interferometric positioning system (RIPS) is a novel positioning solution used in wireless sensor networks. This letter explores the ranging accuracy of RIPS in two configurations. In the linear step-frequency configuration, we derive the mean squared error (MSE) of the maximum likelihood (ML) estimator. In the random step-frequency configuration, we introduce average MSE to characterize the performance of the ML estimator. The simulation results fit well with theoretical analysis.

Keywords

maximum likelihood estimation; mean square error methods; wireless sensor networks; ML estimator; ML range estimator performance; MSE; RIPS; linear step frequency configuration; maximum likelihood estimator; mean squared error; radio interferometric positioning systems; random step frequency configuration; wireless sensor networks; Accuracy; Approximation methods; Distance measurement; Frequency estimation; Maximum likelihood estimation; Radio interferometry; Signal to noise ratio; Average ambiguity function; average MSE; maximum likelihood estimator; method of interval error; outlier probability; radio interferometric positioning system;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2014.2352270

Filename

6894150