Fifty years of MIMO detection: The road to large-scale MIMOs
The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …
rely on very large antenna arrays have become a hot topic of wireless communications …
Cooperative robotic networks for underwater surveillance: an overview
Underwater surveillance has traditionally been carried out by means of surface and
undersea manned vessels equipped with advanced sensor systems. This approach is often …
undersea manned vessels equipped with advanced sensor systems. This approach is often …
[PDF][PDF] Multitarget tracking
Multitarget tracking (MTT) refers to the problem of jointly estimating the number of targets
and their states or trajectories from noisy sensor measurements. MTT has a long history …
and their states or trajectories from noisy sensor measurements. MTT has a long history …
The probabilistic data association filter
Y Bar-Shalom, F Daum, J Huang - IEEE Control Systems …, 2009 - ieeexplore.ieee.org
The measurement selection for updating the state estimate of a target's track, known as data
association, is essential for good performance in the presence of spurious measurements or …
association, is essential for good performance in the presence of spurious measurements or …
Sonar tracking of multiple targets using joint probabilistic data association
T Fortmann, Y Bar-Shalom… - IEEE journal of Oceanic …, 1983 - ieeexplore.ieee.org
The problem of associating data with targets in a cluttered multi-target environment is
discussed and applied to passive sonar tracking. The probabilistic data association (PDA) …
discussed and applied to passive sonar tracking. The probabilistic data association (PDA) …
Joint integrated probabilistic data association: JIPDA
D Musicki, R Evans - IEEE transactions on Aerospace and …, 2004 - ieeexplore.ieee.org
A new recursive filter for multi-target tracking in clutter is presented. Multiple tracks may
share the same measurement (s). Joint events are formed by creating all possible …
share the same measurement (s). Joint events are formed by creating all possible …
Tracking a maneuvering target using input estimation versus the interacting multiple model algorithm
Y Bar-Shalom, KC Chang… - IEEE Transactions on …, 1989 - ieeexplore.ieee.org
Two maneuvering-target tracking techniques are compared. The first, called input
estimation, models the maneuver as constant unknown input, estimates its magnitude and …
estimation, models the maneuver as constant unknown input, estimates its magnitude and …
Approximate evaluation of marginal association probabilities with belief propagation
J Williams, R Lau - IEEE Transactions on Aerospace and …, 2014 - ieeexplore.ieee.org
Data association, the problem of reasoning over correspondence between targets and
measurements, is a fundamental problem in tracking. This paper presents a graphical model …
measurements, is a fundamental problem in tracking. This paper presents a graphical model …
Taxonomy of multiple target tracking methods
GW Pulford - IEE Proceedings-Radar, Sonar and Navigation, 2005 - IET
A concise summary of techniques for multiple target tracking is provided and their main
characterics assessed qualitatively. The techniques have been catergorised into more than …
characterics assessed qualitatively. The techniques have been catergorised into more than …
Bayesian multi-target tracking with merged measurements using labelled random finite sets
Most tracking algorithms in the literature assume that the targets always generate
measurements independently of each other, ie, the sensor is assumed to have infinite …
measurements independently of each other, ie, the sensor is assumed to have infinite …