activity
20162020
most citedSupervised Learning Based Online Tracking Filters: An XGBoost Implementation

3 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

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.SP20203 cited

Supervised Learning Based Online Tracking Filters: An XGBoost Implementation

Jie Deng, Wei Yi

The target state filter is an important module in the traditional target tracking framework. In order to get satisfactory tracking results, traditional Bayesian methods usually nee…

eess.SY2019

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.SP20191 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…

cs.IT2016

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…