no code implementations • 30 Jan 2024 • Yangming Lai, Musa Furkan Keskin, Henk Wymeersch, Luca Venturino, Wei Yi, Lingjiang Kong
This paper investigates subspace-based target detection in OFDM integrated sensing and communications (ISAC) systems, considering the impact of various constellations.
no code implementations • 15 Jun 2023 • Yuqi Li, Yizhi Luo, Xiaoshuai Hao, Chuanguang Yang, Zhulin An, Dantong Song, Wei Yi
In this report, we describe the technical details of our submission to the EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023, by Team "AcieLee" (username: Yuqi\_Li).
no code implementations • 22 Feb 2023 • Haiyi Mao, Cong Peng, Yue Liu, Jinping Tang, Hua Peng, Wei Yi
A variety of filters with track-before-detect (TBD) strategies have been developed and applied to low signal-to-noise ratio (SNR) scenarios, including the probability hypothesis density (PHD) filter.
no code implementations • 7 Oct 2022 • Shaoxiu Wei, Ángel F. García-Fernández, Wei Yi
This paper develops a general trajectory probability hypothesis density (TPHD) filter, which uses a general density for target-generated measurements and is able to estimate trajectories of coexisting point and extended targets.
no code implementations • 7 Jun 2022 • Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, DaCheng Tao
Due to the intrinsic probabilistic nature of quantum mechanics, it is reasonable to postulate that quantum generative learning models (QGLMs) may surpass their classical counterparts.
no code implementations • 18 May 2022 • Yangming Lai, Luca Venturino, Emanuele Grossi, Wei Yi
In this paper, we consider a distributed multiple-input multiple-output (MIMO) radar which radiates waveforms with non-ideal cross- and auto-correlation functions and derive a novel subspace-based procedure to detect and localize multiple prospective targets.
no code implementations • 6 Nov 2021 • Shaoxiu Wei, Boxiang Zhang, Wei Yi
These filters are referred to as the unknown TPHD (U-TPHD) and unknown TCPHD (U-TCPHD) filters. By minimizing the Kullback-Leibler divergence (KLD), the U-TPHD and U-TCPHD filters can obtain, respectively, the best Poisson and independent identically distributed (IID) density approximations over the augmented sets of trajectories.
no code implementations • 6 Nov 2021 • 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 trajectory probability hypothesis density (TPHD) filter, which is referred to as the JTC-TPHD filter.
no code implementations • 6 Nov 2021 • Shaoxiu Wei, Boxiang Zhang, Wei Yi
Because of the huge computational burden and the short-term stability of the detection profile, we also propose the R-TPHD filter with unknown detection profile only at current time as an approximation.
1 code implementation • 9 Jun 2021 • Ángel F. García-Fernández, Wei Yi
When we receive an OOS measurement, the optimal Bayesian processing performs a retrodiction step that adds trajectory information at the OOS measurement time stamp followed by an update step.
no code implementations • 29 May 2021 • Hang Xiao, Shixing Yang, Wei Yi
We consider the weak target detection problem with unknown parameter in colocated multiple-input multiple-output (MIMO) radar.
no code implementations • 23 May 2021 • Bailu Wang, Suqi Li, Giorgio Battistelli, Luigi Chisci, Wei Yi
A key objective of multi-agent surveillance systems is to monitor a much larger region than the limited field-of-view (FoV) of any individual agent by successfully exploiting cooperation among multi-view agents.
no code implementations • 10 Aug 2020 • Boxiang Zhang, Wei Yi
Firstly, we extend the concept of JMS to the multi-trajectory scenario of maneuvering target and derive the TPHD recursion for the proposed JMS model.
no code implementations • 10 Apr 2020 • Jie Deng, Wei Yi
The target state filter is an important module in the traditional target tracking framework.
no code implementations • 22 Apr 2019 • Wei Yi, Yaoran Sun, Tao Ding, Sailing He
CNN is a powerful tool for many computer vision tasks, achieving much better result than traditional methods.