195 0

Distributed (Nonlinear) Target Tracking in Clutter

Title
Distributed (Nonlinear) Target Tracking in Clutter
Author
송택렬
Keywords
PROBABILISTIC DATA ASSOCIATION; PROCESS NOISE; FUSION; INFORMATION; ALGORITHM; FILTER; TDOA
Issue Date
2015-01
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, v. 51, No. 1, Page. 654-668
Abstract
We consider target tracking using a network of sensors, where some (or all) sensors may be nonlinear or even nonobservable. With nonlinear/nonobservable sensors we may locally track the measurement state. We show that increasing the local measurement state derivative (partially) compensates the nonlinearity of the local measurement state propagation. For example, given a uniform target motion, one should also track the measurement state acceleration. We also simplify the distributed fusion by avoiding the explicit track-to-track (T2T) association. The equivalent measurements (EMs) are used to both update all existing and initialize new global tracks. This approach allows distributed false track discrimination (FTD) and trajectory estimation. We apply this material to distributed tracking in clutter using the time/frequency difference of arrival (TFDOA) sensors.
URI
http://ieeexplore.ieee.org/abstract/document/7073520/http://hdl.handle.net/20.500.11754/35413
ISSN
0018-9251; 1557-9603
DOI
10.1109/TAES.2014.130151
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE