Massive MIMO (multiple-input multiple-output) is no longer a “wild” or “promising” concept
for future cellular networks—in 2018 it became a reality. Base stations (BSs) with 64 fully …

Unknown correlations (UCs) generally exist in a wide spectrum of practical multi-source
information fusion problems, and thereby, their corresponding fusion problems have …

An analytic solution to the multi-target Bayes recursion known as the δ-Generalized Labeled
Multi-Bernoulli (δ-GLMB) filter has been recently proposed by Vo and Vo in [“Labeled …

This paper proposes an efficient implementation of the generalized labeled multi-Bernoulli
(GLMB) filter by combining the prediction and update into a single step. In contrast to an …

In this paper, an effective solution is proposed for joint beam and power scheduling (JBPS)
in the netted Colocated MIMO (C-MIMO) radar systems for distributed multi-target 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 …

Two fundamental approaches to information averaging are based on linear and logarithmic
combination, yielding the arithmetic average (AA) and geometric average (GA) of the fusing …

This paper addresses the problem of distributed multitarget detection and tracking based on
the linear arithmetic average (AA) fusion. We first analyze the conservativeness and Fréchet …

A large-scale multi-object tracker based on the generalised labeled multi-Bernoulli (GLMB)
filter is proposed. The algorithm is capable of tracking a very large, unknown and time …

In this study, we provide an overview of recent advances in multisensor multitarget tracking
based on the random finite set (RFS) approach. The fusion that plays a fundamental role in …