activity
20132024
most citedDistributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection

148 citations · 550 across the 18 of their papers we have counts for

collaborators

18 papers

eess.SP2024

Subspace-Based Detection in OFDM ISAC Systems under Different Constellations

Yangming Lai, Musa Furkan Keskin, Henk Wymeersch +3

This paper investigates subspace-based target detection in OFDM integrated sensing and communications (ISAC) systems, considering the impact of various constellations. To meet dive…

cs.MA2022

Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning

Kai Liu, Tianxian Zhang, Lingjiang Kong

We explore value decomposition solutions for multi-agent deep reinforcement learning in the popular paradigm of centralized training with decentralized execution(CTDE). As the reco…

eess.SY2020

Distributed multi-view multi-target tracking based on CPHD filtering

Guchong Li, Giorgio Battistelli, Luigi Chisci +2

This paper addresses distributed multi-target tracking (DMTT) over a network of sensors having different fields-of-view (FoVs). Specifically, a cardinality probability hypothesis d…

eess.SY2019★ 91 cited

Computationally Efficient Distributed Multi-sensor Fusion with Multi-Bernoulli Filter

Wei Yi, Suqi Li, Bailu Wang +2

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…

eess.SY2019★ 2 cited

Multiple Model Poisson Multi-Bernoulli Mixture Filter for Maneuvering Targets

Guchong Li

The Poisson multi-Bernoulli mixture (PMBM) filter is conjugate prior composed of the union of a Poisson point process (PPP) and a multi-Bernoulli mixture (MBM). In this paper, a ne…

eess.SP2019★ 1 cited

WRFRFT-based Coherent Detection and Parameter Estimation of Radar Moving Target With Unknown Entry/Departure Time

Xiaolong Li, Zhi Sun, Tianxian Zhang +3

A moving target may enter a radar coverage area unannounced and leave after an unspecified period, which implies that the target's entry time and departure time are unknown. In the…

eess.SY2019★ 87 cited

Distributed Multi-sensor Multi-view Fusion based on Generalized Covariance Intersection

Guchong Li, Giorgio Battistelli, Wei Yi +1

Distributed multi-target tracking (DMTT) is addressed for sensors having different fields of view (FoVs). The proposed approach is based on the idea of fusing the posterior Probabi…

eess.SY2017★ 133 cited

Robust Distributed Fusion with Labeled Random Finite Sets

Suqi Li, Wei Yi, Reza Hoseinnezhad +3

This paper considers the problem of the distributed fusion of multi-object posteriors in the labeled random finite set filtering framework, using Generalized Covariance Intersectio…

cs.IT2017★ 1 cited

Antenna Deployment Method for MIMO Radar under the Situation of Multiple Interference Regions

Tianxian Zhang, Jiadong Liang, Yichuan Yang +3

In this paper, considering multiple interference regions simultaneously, an optimal antenna deployment problem for distributed Multi-Input Multi-Output (MIMO) radar is investigated…

cs.IT2016★ 1 cited

Optimal Deployment of Multistatic Radar System Using Multi-Objective Particle Swarm Optimization

Yichuan Yang, Tianxian Zhang, Wei Yi +4

We consider an optimization deployment problem of multistatic radar system (MSRS). Through the antenna placing and the transmitted power allocating, we optimally deploy the MSRS fo…

eess.SY2016★ 1 cited

Multi-object Tracking for Generic Observation Model Using Labeled Random Finite Sets

Suqi Li, Wei Yi, Reza Hoseinnezhad +2

This paper presents an exact Bayesian filtering solution for the multi-object tracking problem with the generic observation model. The proposed solution is designed in the labeled…

eess.SY2016★ 24 cited

Multi-Sensor Control for Multi-Target Tracking Using Cauchy-Schwarz Divergence

Meng Jiang, Wei Yi, Lingjiang Kong

The paper addresses the problem of multi-sensor control for multi-target tracking via labelled random finite sets (RFS) in the sensor network systems. Based on an information theor…

eess.SY2016

Principled Random Finite Set Approximations of Labeled Multi-Object Densities

Suqi Li, Wei Yi, Bailu Wang +1

As a fundamental piece of multi-object Bayesian inference, multi-object density has the ability to describe the uncertainty of the number and values of objects, as well as the stat…

eess.SY2016★ 3 cited

Distributed Fusion of Labeled Multi-Object Densities Via Label Spaces Matching

Bailu Wang, Wei Yi, Suqi Li +2

In this paper, we address the problem of the distributed multi-target tracking with labeled set filters in the framework of Generalized Covariance Intersection (GCI). Our analyses…

stat.ME2016★ 6 cited

Distributed Multi-Sensor Fusion Using Generalized Multi-Bernoulli Densities

Meng Jiang, Wei Yi, Reza Hoseinnezhad +1

The paper addresses distributed multi-target tracking in the framework of generalized Covariance Intersection (GCI) over multistatic radar system. The proposed method is based on t…

eess.SY2016★ 148 cited

Distributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection

Bailu Wang, Wei Yi, Reza Hoseinnezhad +3

In this paper, we propose a distributed multi-object tracking algorithm through the use of multi-Bernoulli (MB) filter based on generalized Covariance Intersection (G-CI). Our anal…

cs.IT2014

MIMO OFDM Radar IRCI Free Range Reconstruction with Sufficient Cyclic Prefix

Xiang-Gen Xia, Tianxian Zhang, Lingjiang Kong

In this paper, we propose MIMO OFDM radar with sufficient cyclic prefix (CP), where all OFDM pulses transmitted from different transmitters share the same frequency band and are or…

cs.IT2013★ 52 cited

IRCI Free Range Reconstruction for SAR Imaging with Arbitrary Length OFDM Pulse

Tian-Xian Zhang, Xiang-Gen Xia, Lingjiang Kong

Our previously proposed OFDM with sufficient cyclic prefix (CP) synthetic aperture radar (SAR) imaging algorithm is inter-range-cell interference (IRCI) free and achieves ideally z…