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 …

Fusing probabilistic information is a fundamental task in signal and data processing with
relevance to many fields of technology and science. In this work, we investigate the fusion of …

5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular
networks when the base station and vehicles are equipped with large antenna arrays …

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 …

The paper addresses the problem of distributed multi-target tracking (MTT) in a network of
sensors having different fields of view (FoVs). Probability hypothesis density (PHD) filters are …

Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It
improves the accuracy and stability of target tracking by fusing multiple local sensor …

From the celebrated Gaussian mixture, model averaging estimators to the cutting-edge multi-
Bernoulli mixture of various forms, finite mixture models offer a fundamental and flexible …

We propose a computationally efficient, the first so far, multi-sensor extension of the Poisson
multi-Bernoulli mixture (PMBM) filter that accommodates both centralized and distributed …

We study the asymptotic learning rates of belief vectors in a distributed hypothesis testing
problem under linear and log-linear combination rules. We show that under both …

多传感器多目标跟踪是信息融合领域的热点问题, 其通过融合多个局部传感器数据,
提高目标跟踪精度和稳定性. 多传感器多目标跟踪按融合体系可分为分布式, 集中式, 混合式3 类 …