An Improved Method of Moments Estimator for TOA Based Localization

Author

Tianzhu Qiao ; Huaping Liu

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA

Volume

17

Issue

7

fYear

2013

fDate

Jul-13

Firstpage

1321

Lastpage

1324

Abstract

Estimation accuracy and computational complexity are two major areas of consideration for localization system design. For time-of-arrival based systems, the 1st-order method of moments (MOM) least-squares (LS) estimator is simple to implement, but its performance is much worse than that of some computationally more complex estimators such as the MOM weighted LS (WLS) and nonlinear weighted LS (NLLS-WLS) estimators. In this paper, we develop an improved 1st-order MOM estimator to efficiently utilize the variances of the range measurements and the target position that, as the NLLS estimator, has a performance also approaching the Crammer-Rao lower bound but is much simpler than MOM-WLS and NLLS-WLS estimators.

Keywords

least mean squares methods; method of moments; time-of-arrival estimation; Crammer-Rao lower bound; MOM estimator; NLLS estimator; TOA based localization; least-squares estimator; method of moments estimator; range measurement; time-of-arrival based system; Accuracy; Computational complexity; Estimation; Indexes; Method of moments; Noise; Position measurement; Location estimation and method of moments;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2013.052413.130734

Filename

6522948