Joint synchronization and localization using TOAs: a linearization based WLS solution

Authors:
Shouhong Zhu;Zhiguo Ding
Affiliations:
School of Electrical, Electronic and Computer Engineering, Newcastle University, Newcastle, UK and Lancaster University;School of Electrical, Electronic and Computer Engineering, Newcastle University, Newcastle, UK and Lancaster University
Venue:
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Year:
2010

Citing 2
Cited 3

A constrained least squares approach to mobile positioning: algorithms and optimality

EURASIP Journal on Applied Signal Processing
Least squares algorithms for time-of-arrival-based mobile location

IEEE Transactions on Signal Processing

An efficient closed-form solution for joint synchronization and localization using TOA

Future Generation Computer Systems
Performance limits in sensor localization

Automatica (Journal of IFAC)
Improved Localization Algorithms Based on Reference Selection of Linear Least Squares in LOS and NLOS Environments

Wireless Personal Communications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Joint synchronization and localization using time of arrival (TOA) measurements is a very important research topic for many wireless ad hoc sensor network applications. For such TOA based joint synchronization and localization, the least square (LS) criterion and its corresponding solution have been shown to exhibit optimum estimation performance but generally at a very high computational complexity. Due to its importance and difficulty, in this paper we consider the issue how to approach the estimation performance of such LS solution at low computational complexity: We propose a low-complexity algorithm, which is based on the linearized equations from TOA measurements and applies a weighted least square (WLS) criterion in a computationally efficient way to closely approach the LS solution in estimation performance; Via analyzing and simulating its estimation performance we evidently demonstrate the proposed algorithm of its superior trade-off between estimation performance and computational complexity. The proposed algorithm is also applicable to similar application areas involving TOA base joint timing and positioning.