We formulate a Bayesian approach to the joint tracking and recognition of airborne targets
via reflected commercial television and FM radio signals measured by an array of sensors …

We present a recursive Bayesian solution for the problem of joint tracking and classification
of airborne targets. In our system, we allow for complications due to multiple targets, false …

In tracking and sensor data fusion targets of interest are usually considered as point source
objects; ie compared to the sensor resolution their extension is neglected. Due to the …

Most research regarding passive radar exploiting 'illuminators of opportunity', such as FM
radio, has focused on detecting and tracking targets. This study explores adding automatic …

This paper considers the problem of target track identification in a radar surveillance system.
To build a target identifier alongside a tracker, four features which are available for real-time …

In algorithms for tracking and sensor data fusion the targets to be observed are usually
considered as point source objects; ie, compared with the sensor resolution their extension …

This article presents a Bayesian algorithm for detection and tracking of a target using the
track-before-detect framework. This strategy enables to detect weak targets and to …

In many engineering applications, including surveillance, guidance, navigation, robotics,
system control, image data processing, or quality management, single stand-alone sensors …

The task of tracking extended objects or (partly) unresolvable group targets raises new
challenges for both data association and track maintenance. Due to limited sensor …

Like the hypothetical shadow watchers of Plato's cave, ATR researchers have spent years in
the study of one and two-dimensional signals, collected from three dimensional targets …