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Title: Distributed particle filters via barycenters in 2-Wasserstein space
Authors: Sheng, Shunan
Keywords: Science::Mathematics::Statistics
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Sheng, S. (2022). Distributed particle filters via barycenters in 2-Wasserstein space. Final Year Project (FYP), Nanyang Technological University, Singapore.
Abstract: We develop a new version of distributed particle filters that exploits the novel theory of 2Wasserstein barycenters. We consider a wireless sensor network deployed over a vast geographical region where each sensor makes local observations and transmits a target state estimate to the Fusion center (FC). Subsequently, the FC produces a global target state estimate based on the transmitted data. We propose the One-step Particle Filters (OPFs) and the Iterative Particle Filters (IPFs) to accommodate scenarios where the sensors communicate at the end stage or at each stage, respectively. Moreover, we present a comprehensive study of the convergence results of the One-step Particle Filters. Finally, we validate our algorithms using synthetic experiments and demonstrate the effectiveness of our proposed approaches.
Schools: School of Physical and Mathematical Sciences 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)

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