A review of data fusion techniques

F Castanedo - The scientific world journal, 2013 - Wiley Online Library
The integration of data and knowledge from several sources is known as data fusion. This
paper summarizes the state of the data fusion field and describes the most relevant studies …

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 …

[BOOK][B] Time series analysis and its applications

RH Shumway, DS Stoffer, DS Stoffer - 2000 - Springer
The fourth edition follows the general layout of the third edition but includes some
modernization of topics as well as the coverage of additional topics. The preface to the third …

An algorithm for tracking multiple targets

D Reid - IEEE transactions on Automatic Control, 1979 - ieeexplore.ieee.org
An algorithm for tracking multiple targets in a cluttered enviroment is developed. The
algorithm is capable of initiating tracks, accounting for false or missing reports, and …

An introduction to multisensor data fusion

DL Hall, J Llinas - Proceedings of the IEEE, 1997 - ieeexplore.ieee.org
Multisensor data fusion is an emerging technology applied to Department of Defense (DoD)
areas such as automated target recognition, battlefield surveillance, and guidance and …

Robust target recognition and tracking of self-driving cars with radar and camera information fusion under severe weather conditions

Z Liu, Y Cai, H Wang, L Chen, H Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Radar and camera information fusion sensing methods are used to solve the inherent
shortcomings of the single sensor in severe weather. Our fusion scheme uses radar as the …

[BOOK][B] Finite mixture and Markov switching models

S Frühwirth-Schnatter - 2006 - Springer
Modelling based on finite mixture distributions is a rapidly develo** area with the range of
applications exploding. Finite mixture models are nowadays applied in such diverse areas …

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) …

Multiple hypothesis tracking for multiple target tracking

SS Blackman - IEEE Aerospace and Electronic Systems …, 2004 - ieeexplore.ieee.org
Multiple hypothesis tracking (MHT) is generally accepted as the preferred method for solving
the data association problem in modern multiple target tracking (MTT) systems. This paper …

[BOOK][B] Multisensor data fusion

D Hall, J Llinas - 2001 - taylorfrancis.com
The emerging technology of multisensor data fusion has a wide range of applications, both
in Department of Defense (DoD) areas and in the civilian arena. The techniques of …