Refining inaccurate sensor positions using target at unknown location

Authors:
M. Sun;K. C. Ho
Affiliations:
Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 65211, USA;Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 65211, USA
Venue:
Signal Processing
Year:
2012

Citing 10
Cited 1

Fundamentals of statistical signal processing: estimation theory

Fundamentals of statistical signal processing: estimation theory
Semi-definite programming approach to sensor network node localization with anchor position uncertainty

ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
An approximately efficient TDOA localization algorithm in closed-form for locating multiple disjoint sources with erroneous sensor positions

IEEE Transactions on Signal Processing
Alleviating sensor position error in source localization using calibration emitters at inaccurate locations

IEEE Transactions on Signal Processing
Robust Relative Location Estimation in Wireless Sensor Networks with Inexact Position Problems

IEEE Transactions on Mobile Computing
Source Localization and Tracking Using Distributed Asynchronous Sensors

IEEE Transactions on Signal Processing
Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution

IEEE Transactions on Signal Processing
An accurate algebraic solution for moving source location using TDOA and FDOA measurements

IEEE Transactions on Signal Processing
On the asymptotic performance analysis of subspace DOA estimation in the presence of modeling errors: case of MUSIC

IEEE Transactions on Signal Processing
An Asymptotically Efficient Estimator for TDOA and FDOA Positioning of Multiple Disjoint Sources in the Presence of Sensor Location Uncertainties

IEEE Transactions on Signal Processing

Accurate sequential self-localization of sensor nodes in closed-form

Signal Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

This paper addresses the problem of improving the receiver positions in a sensor array using the positioning measurements of targets at unknown locations. Using an efficient estimate of the target locations, a computationally efficient estimator is proposed to refine the sensor positions using the same set of measurements from the targets. The considered measurements include TOA and TDOA. The proposed estimator has closed-form and is able to reach the CRLB accuracy under small Gaussian noise which is supported by theoretical analysis and simulation studies.