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Distributed GGIW-CPHD-Based Extended Target Tracking Over a Sensor Network
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DOI：10.1109/LSP.2022.3158589.png)
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Abstract
En 中文
Multiple extended target tracking (METT) is a common and challenging problem. Various solutions for METT have been proposed, however, most of them focus on the single-sensor or centralized multi-sensor scenarios. In this letter, we explore the multi-sensor METT problem in a distributed fusion framework. Specifically, there are two stages in the implementation process: 1) to perform a Gamma Gaussian Inverse Wishart Cardinalized Probability Hypothesis Density (GGIW-CPHD) filter for each sensor node, and 2) to perform a fusion by resorting to the so-called Generalized Covariance Intersection (GCI) fusion rule. In the fusion stage, we derive an approximate GGIW mixture form of the fused spatial density. Lastly, simulation experiments via a consensus sensor network are provided to verify the effectiveness of the proposed approach.
Keywords:
Target tracking
Computational modeling
Symmetric matrices
Weight measurement
Standards
Radio frequency
Gamma distribution
Consensus sensor network
GCI
GGIW-CPHD
METT
multi-agent system
Journal
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