Overview of problems and techniques in target tracking
Koch, W.
Target Tracking: Algorithms and Applications (Ref. No. 1999/090, 1999/215), IEE Colloquium on
Volume , Issue , 1999 Page(s):1/1 - 1/4
Digital Object Identifier
Summary:In many engineering applications, including surveillance,
guidance, navigation, robotics, system control, or quality management,
single stand-alone sensors or sensor networks are used for collecting
information on time varying quantities of interest, such as kinematical
parameters and classification attributes of moving objects (e.g.
manoeuvring air targets, ground vehicles) or, in a more general
framework, for tracking time varying signal parameters. More strictly
speaking, in those applications the state of a stochastically driven
dynamical system is to be estimated from a series of sensor data sets,
also called scans or data frames, which are received at discrete
instants of time (scan/frame time, revisit time, data innovation time).
The individual output data produced by the sensor systems considered
(reports, observations, returns, plots) typically result from complex
estimation procedures themselves that characterise particular waveform
parameters of the received signals (sensor signal processing). Provided
the quantities of interest are related to moving point-source objects or
small extended objects (radar targets, for instance), often relatively
simple statistical models can be derived from basic physical laws, which
describe their temporal behaviour and thus define the underlying
dynamical system. The formulation of adequate dynamics models, however,
may be a difficult task in certain applications
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