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20162021
most citedHeterogeneous Multi-sensor Fusion with Random Finite Set Multi-object Densities

45 citations · 68 across the 10 of their papers we have counts for

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7 papers · 1 filter

eess.SP2021

Trajectory PHD Filter with Unknown Detection Profile and Clutter Rate

Shaoxiu Wei, Boxiang Zhang, Wei Yi

In this paper, we derive the robust TPHD (R-TPHD) filter, which can adaptively learn the unknown detection profile history and clutter rate. The R-TPHD filter is derived by obtaini…

eess.SP2021

Multi-target Joint Tracking and Classification Using the Trajectory PHD Filter

Shaoxiu Wei, Boxiang Zhang, Wei Yi

To account for joint tracking and classification (JTC) of multiple targets from observation sets in presence of detection uncertainty, noise and clutter, this paper develops a new…

eess.SP2021

Trajectory PHD and CPHD Filters with Unknown Detection Profile

Shaoxiu Wei, Boxiang Zhang, Wei Yi

Compared to the probability hypothesis density (PHD) and cardinalized PHD (CPHD) filters, the trajectory PHD (TPHD) and trajectory CPHD (TCPHD) filters are for sets of trajectories…

eess.SP20211 cited

Weak target detection with multi-bit quantization in colocated MIMO radar

Hang Xiao, Shixing Yang, Wei Yi

We consider the weak target detection problem with unknown parameter in colocated multiple-input multiple-output (MIMO) radar. To cope with the sheer amount of data for large-size…

eess.SP2020

The Trajectory PHD Filter for Jump Markov System Models and Its Gaussian Mixture Implementation

Boxiang Zhang, Wei Yi

The trajectory probability hypothesis density filter (TPHD) is capable of producing trajectory estimates in first principle without adding labels or tags. In this paper, we propose…

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…