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Estimating radar positions using unmanned air vehicle teams engaged in cooperative deception

Purvis, K.B. ; Åström, Karl Johan LU and Khammash, M. H. (2005) 5. p.3512-3517
Abstract
Standard TDOA (time-difference of arrival) estimation techniques are modified and applied to locate networked enemy radars using a cooperative team of unmanned electronic combat air vehicles (ECAVs). The team is engaged in deceiving the radars, which limits where the ECAVs can fly and requires accurate radar positions to be known. Two TDOA measurements of radar pulses taken by two ECAV pairs are used to estimate the position of the middle radar. A nonlinear system model for estimation is formulated and used to perform simulations with "noisy" TDOAs; a linearized time-varying model for straight nominal ECAV trajectories is derived from the nonlinear model. The choice of optimal ECAV trajectories and an observer to minimize the variance of... (More)
Standard TDOA (time-difference of arrival) estimation techniques are modified and applied to locate networked enemy radars using a cooperative team of unmanned electronic combat air vehicles (ECAVs). The team is engaged in deceiving the radars, which limits where the ECAVs can fly and requires accurate radar positions to be known. Two TDOA measurements of radar pulses taken by two ECAV pairs are used to estimate the position of the middle radar. A nonlinear system model for estimation is formulated and used to perform simulations with "noisy" TDOAs; a linearized time-varying model for straight nominal ECAV trajectories is derived from the nonlinear model. The choice of optimal ECAV trajectories and an observer to minimize the variance of the middle radar position - using the linearized model is addressed. Application of a time-varying Kalman filter to the linearized system shows drastic improvement in reducing the variance of position estimates when compared to the original nonlinear system via simulations. (Less)
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author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
American Control Conference, 2005. Proceedings of the 2005
volume
5
pages
3512 - 3517
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
ISSN
0743-1619
DOI
10.1109/ACC.2005.1470517
language
English
LU publication?
yes
id
47f2b244-4a99-4ff7-b0d1-923b7e740768 (old id 535686)
date added to LUP
2016-04-01 16:27:30
date last changed
2018-11-21 20:41:34
@inproceedings{47f2b244-4a99-4ff7-b0d1-923b7e740768,
  abstract     = {{Standard TDOA (time-difference of arrival) estimation techniques are modified and applied to locate networked enemy radars using a cooperative team of unmanned electronic combat air vehicles (ECAVs). The team is engaged in deceiving the radars, which limits where the ECAVs can fly and requires accurate radar positions to be known. Two TDOA measurements of radar pulses taken by two ECAV pairs are used to estimate the position of the middle radar. A nonlinear system model for estimation is formulated and used to perform simulations with "noisy" TDOAs; a linearized time-varying model for straight nominal ECAV trajectories is derived from the nonlinear model. The choice of optimal ECAV trajectories and an observer to minimize the variance of the middle radar position - using the linearized model is addressed. Application of a time-varying Kalman filter to the linearized system shows drastic improvement in reducing the variance of position estimates when compared to the original nonlinear system via simulations.}},
  author       = {{Purvis, K.B. and Åström, Karl Johan and Khammash, M. H.}},
  booktitle    = {{American Control Conference, 2005. Proceedings of the 2005}},
  issn         = {{0743-1619}},
  language     = {{eng}},
  pages        = {{3512--3517}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Estimating radar positions using unmanned air vehicle teams engaged in cooperative deception}},
  url          = {{https://lup.lub.lu.se/search/files/4678923/625570.pdf}},
  doi          = {{10.1109/ACC.2005.1470517}},
  volume       = {{5}},
  year         = {{2005}},
}