TDOA source positioning in the presence of outliers

Type of content
Journal Article
Thesis discipline
Degree name
Publisher
Institution of Engineering and Technology (IET)
Journal Title
Journal ISSN
Volume Title
Language
en
Date
2019
Authors
Ma , Fuhe
Yang, Le
Zhang, Min
Guo , Fu-Cheng
Abstract

Source localisation using time difference of arrival (TDOA) measurements has drawn considerable attention in the past few decades. The presence of outliers in TDOAs could deteriorate the localisation performance significantly. Under the reasonable assumption that outliers are sparse and they do not dominate in the raw measurement set, a computationally efficient outlier-robust TDOA localisation method is proposed in this study. It integrates the half-quadratic minimisation and reweighted least absolute shrinkage and selection operator to iteratively identify the outliers and find the source location estimate using the TDOA inliers only. Both additive and multiplicative forms of the proposed method are established. Simulation results demonstrate the computational efficiency and effectiveness of the developed algorithms.

Description
Citation
Ma F, Yang L, Zhang M, Guo FC (2019). TDOA source positioning in the presence of outliers. IET Signal Processing. 13(7). 679-688.
Keywords
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
40 - Engineering::4006 - Communications engineering::400607 - Signal processing
Rights
All rights reserved unless otherwise stated