Fifty years of MIMO detection: The road to large-scale MIMOs

S Yang, L Hanzo - IEEE communications surveys & tutorials, 2015 - ieeexplore.ieee.org
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 …

Cooperative robotic networks for underwater surveillance: an overview

G Ferri*, A Munafò*, A Tesei, P Braca… - IET Radar, Sonar & …, 2017 - Wiley Online Library
Underwater surveillance has traditionally been carried out by means of surface and
undersea manned vessels equipped with advanced sensor systems. This approach is often …

[PDF][PDF] Multitarget tracking

B Vo, M Mallick, Y Bar-Shalom… - … of electrical and …, 2015 - bailiping.github.io
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 …

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 …

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) …

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 …

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 …

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 …

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 …

Bayesian multi-target tracking with merged measurements using labelled random finite sets

M Beard, BT Vo, BN Vo - IEEE Transactions on Signal …, 2015 - ieeexplore.ieee.org
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 …