Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion
Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion
We propose a novel consensus notion, called "partial consensus", for distributed GM-PHD (Gaussian mixture probability hypothesis density) fusion based on a peer-to-peer (P2P) sensor network, in which only highly-weighted posterior Gaussian components (GCs) are disseminated in the P2P communication for fusion while the insignificant GCs are not involved. The partial …