2011/09/28 by Ondrej Hlinka, Hlinka, Ondrej, Franz Hlawatsch +3
Computer Science · #Applications (stat.AP) #Distributed #Distributed Control Multi-Agent Systems #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Parallel #Target Tracking and Data Fusion in Sensor Networks #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.1109.6191
openalex publication_date 2011/09/28 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
We present a consensus-based distributed particle filter (PF) for wireless\nsensor networks. Each sensor runs a local PF to compute a global state estimate\nthat takes into account the measurements of all sensors. The local PFs use the\njoint (all-sensors) likelihood function, which is calculated in a distributed\nway by a novel generalization of the likelihood consensus scheme. A performance\nimprovement (or a reduction of the required number of particles) is achieved by\na novel distributed, consensus-based method for adapting the proposal densities\nof the local PFs. The performance of the proposed distributed PF is\ndemonstrated for a target tracking problem.\n