Traditional networked radar fusion technology adopts an open-loop signal processing
manner, in which multiple nodes independently detect or track target first, and then send …

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 …

The development of pervasive communication devices and the emergence of the Internet of
Things (IoT) have acted as an essential part in the feasibility of smart city initiatives. Wireless …

This paper proposes an efficient implementation of the multi-sensor generalized labeled
multi-Bernoulli (GLMB) filter. Like its single-sensor counterpart, such implementation …

In this paper, we propose a distributed multiobject tracking algorithm through the use of multi-
Bernoulli (MB) filter based on generalized covariance intersection (G-CI). Our analyses …

This paper addresses multi-agent multi-object tracking with labeled random finite sets via
Generalized Covariance Intersection (GCI) fusion. While standard GCI fusion of Labeled …

A distributed multiple-input multiple-output (MIMO) radar system is capable of tracking
multiple targets under the “defocused transmit-focused receive”(DTFR) operating mode, in …

This paper presents an efficient information-theoretic sensor management method to
maximize the performance of the passive multi-sensor system for multi-target tracking. We …

This paper proposes a computationally efficient algorithm for distributed fusion in a sensor
network in which multi-Bernoulli (MB) filters are locally running in every sensor node for …

We consider the problem of online path planning for joint detection and tracking of multiple
unknown radio-tagged objects. This is a necessary task for gathering spatio-temporal …