title: Through-the-wall localization of a moving target by two independent ultra wideband (UWB) radar systems.
abstract: In the case of through-the-wall localization of moving targets by ultra wideband (UWB) radars, there are applications in which handheld sensors equipped only with one transmitting and two receiving antennas are applied. Sometimes, the radar using such a small antenna array is not able to localize the target with the required accuracy. With a view to improve through-the-wall target localization, cooperative positioning based on a fusion of data retrieved from two independent radar systems can be used. In this paper, the novel method of the cooperative localization referred to as joining intersections of the ellipses is introduced. This method is based on a geometrical interpretation of target localization where the target position is estimated using a properly created cluster of the ellipse intersections representing potential positions of the target. The performance of the proposed method is compared with the direct calculation method and two alternative methods of cooperative localization using data obtained by measurements with the M-sequence UWB radars. The direct calculation method is applied for the target localization by particular radar systems. As alternative methods of cooperative localization, the arithmetic average of the target coordinates estimated by two single independent UWB radars and the Taylor series method is considered.
authors.affiliation: Department of Electronics and Multimedia Communications, Technical University of Košice, Park Komenského 13, Košice 04120, Slovakia. Dusan.Kocur@tuke.sk.
authors.forename: Dušan
authors.initials: D
authors.lastname: Kocur
authors.forename: Mária
authors.initials: M
authors.lastname: Svecová
authors.forename: Jana
authors.initials: J
authors.lastname: Rovňáková
mesh_terms: D000465:Algorithms; D021621:Imaging, Three-Dimensional / Q000295:instrumentation* / Q000379:methods*; D008904:Miniaturization; D011825:Radar / Q000295:instrumentation*
references.citation: Neural Comput. 1999 Feb 15;11(2):443-82
references.pmid: 9950739