Speech Title: From Target Tracking to Targeting Track: Trajectory Stochastic Processing Modeling and Estimation
Abstract:
To solve the target tracking problem with little a-priori information about the target dynamics, our series of studies propose to model the target trajectory by the powerful tool of stochastic process (SP). Building on a deterministic-stochastic decomposition framework, we decompose the learning of the trajectory SP into two sequential stages: the first fits the deterministic trend of the trajectory using a curve function of time, while the second estimates the residual stochastic component through learning either a Gaussian process (GP) or Student’s-t process (StP). Notably, our approach models the temporal correlations of the state sequence and of measurement noise using separate GP or StP. It does not only take advantage of the smooth trend of the target but also makes use of the long term temporal correlation of both the data and the model fitting error.
Biography:
Tiancheng Li is currently a professor with Northwestern Polytechnical University since 2019, who had been a Marie Skłodowska-Curie Individual Researcher with the University of Salamanca, Spain, from 2014 to 2018. He has coauthored more than 50 refereed papers on eminent journals, such as IEEE SPM and TSP. His research interests include multi-sensor information fusion and Radar target detection and tracking. He is an Area Editor of the prestigious journal Information Fusion, and an Associate Editor for 10 peer-reviewing journals including FITEE, Journal of Radars, and Journal of Signal Processing. He is the General Chair of ICCAIS 2021 and named in the World’s top 2% of Scientists List since 2022. He is the recipient of the Best Paper Award in 2017 and Distinguished Editorial Board Member Award in 2020 from the journal FITEE, and was awarded the Second-class Natural Science Award by the CAA, the First-class Natural Science Award by Shaanxi Province and the Youth Science and Technology Award by CICC. He was granted the National Science Fund for Excellent Young Scholars in 2024.