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Source localisation using TDOA and FDOA measurements under unknown noise power knowledge

Authors :
Zhang Shunsheng
Hongwang Zhang
Wen-Qin Wang
Zheng Zhi
Source :
IET Signal Processing. 14:435-439
Publication Year :
2020
Publisher :
Institution of Engineering and Technology (IET), 2020.

Abstract

In this study, the authors develop a new algorithm for passive source localisation using time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements. In this algorithm, the position and velocity of the target source are successively estimated by formulating two alone semidefinite programming problems, where the variances of the TDOA and FDOA measurement noises can be separated and neglected. Unlike the traditional methods, the authors’ approach does not require the prior knowledge of the TDOA/FDOA measurement noise power. Simulation results indicate that the proposed algorithm outperforms the existing methods under unknown noise power knowledge.

Details

ISSN :
17519683 and 17519675
Volume :
14
Database :
OpenAIRE
Journal :
IET Signal Processing
Accession number :
edsair.doi...........8ec46bb709bda60d5ce8f3c41c94af49
Full Text :
https://doi.org/10.1049/iet-spr.2019.0406