Open AccessNew robust Taylor series method for target localisation based on external emitter radar
Author(s) -
Wang Jun,
Zhu Zhenguo,
Qin Zhaotao,
Zhang Yuxi,
Wei Shaoming
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0202
Subject(s) - taylor series , robustness (evolution) , computer science , cramér–rao bound , algorithm , radar , a priori and a posteriori , common emitter , series (stratigraphy) , gaussian noise , control theory (sociology) , estimation theory , mathematics , electronic engineering , artificial intelligence , telecommunications , engineering , mathematical analysis , biochemistry , chemistry , philosophy , paleontology , control (management) , epistemology , biology , gene
This study addresses the target localisation problem using bistatic range (BR) measurements in a multi‐base system based on external emitter radar. An asymptotically efficient Taylor series method is proposed for target localisation. The initial value for Taylor series method is provided by some algebraic closed‐form positioning algorithms, rather than priori initial guesses. The localisation convergence problem can also be avoided unless in an extremely large measurement noise. The proposed method can be applied to both critically determined and over‐determined conditions. The performance is verified and evaluated through simulations. The results show that the method can realise Cramer‐Rao lower bound (CRLB) precision under Gaussian measurement noise. In addition, the method is superior to the existing localisation estimation in positioning accuracy and robustness.