文章基本信息

标题：Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation
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作者：Ningning Qin ; Chao Wang ; Changxu Shan 等
期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2021
卷号：17
期号：2
页码：1
DOI：10.1177/1550147721991770
出版社：Hindawi Publishing Corporation
摘要：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.
关键词：Time difference of arrival (TDOA); frequency difference of arrival (FDOA); bi-iterative; intervals enclosing; Taylor-series method