z-logo
open-access-imgOpen Access
Efficient closed‐form estimator for joint elliptic and hyperbolic localisation in multistatic system
Author(s) -
Qin Zhaotao,
Wei Shaoming,
Wang Jun
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2018.0210
Subject(s) - hyperbola , multilateration , estimator , ellipse , cramér–rao bound , multistatic radar , mathematics , algorithm , range (aeronautics) , quadratic equation , gaussian noise , noise (video) , computer science , bistatic radar , estimation theory , radar , azimuth , engineering , geometry , statistics , telecommunications , artificial intelligence , radar imaging , image (mathematics) , aerospace engineering
The target localisation problem is considered by the use of hybrid bistatic range (BR) and time difference of arrival (TDOA) measurements in multistatic localisation system. The BR and TDOA define an ellipse and a hyperbola, respectively, and the target resides on the intersections of several such quadratic curves. An efficient closed‐form solution to this non‐linear estimation problem is developed by employing two‐step weighted least squares minimisations. Simulation results show that the proposed method can reach the Cramer–Rao lower bound accuracy for small Gaussian measurement noise. A real experiment is presented to validate the performance of the proposed estimator in an acoustic array system.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom