Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation

Type of content
Journal Article
Thesis discipline
Degree name
Publisher
SAGE Publications
Journal Title
Journal ISSN
Volume Title
Language
en
Date
2021
Authors
Qin N
Wang C
Shan C
Yang, Le
Abstract

In this study, an interval extension method of a bi-iterative is proposed to determine a moving source. This method is developed by utilising the time difference of arrival and frequency difference of arrival measurements of a signals received from several receivers. Unlike the standard Gaussian noise model, the time difference of arrival - frequency difference of arrival measurements are obtained by interval enclosing, which avoids convergence and initialisation problems in the conventional Taylor-series method. Using the bi-iterative strategy, the algorithm can alternately calculate the position and velocity of the moving source in interval vector form. Simulation results indicate that the proposed scheme significantly outperforms other methods, and approaches the Cramer-Rao lower bound at a sufficiently high noise level before the threshold effect occurs. Moreover, the interval widths of the results provide the confidence degree of the estimate.

Description
Citation
Qin N, Wang C, Shan C, Yang L (2021). Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation. International Journal of Distributed Sensor Networks. 17(2). 155014772199177-155014772199177.
Keywords
time difference of arrival (TDOA), frequency difference of arrival (FDOA), bi-iterative, intervals enclosing, Taylor-series method
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
49 - Mathematical sciences::4903 - Numerical and computational mathematics::490302 - Numerical analysis
49 - Mathematical sciences::4901 - Applied mathematics
49 - Mathematical sciences::4903 - Numerical and computational mathematics
Rights
All rights reserved unless otherwise stated