Multi-domain Collaborative Asynchronous Multi-target Tracking Based on Adaptive Consensus

For the asynchronous problem in integrated air-space-ground multi-domain collaborative multi-platform fusion systems,a multi-source information fusion method for multi-target tracking based on adaptive consensus is proposed. Firstly,tracking models are established for ground-based radars,airborne early warning aircraft,and space-based satellites,with local multi-target tracking implemented through labeled multi-Bernoulli(LMB)filters. Secondly,each platform conducts forward prediction based on the proposed consensus posterior time and aligns the local LMB densities. Subsequently,the asynchronous fusion metric function with analytical form is derived from the generalized covariance intersection and time-aligned LMB densities. An adaptive consensus dynamic fusion strategy based on the metric function and asynchronous ratio is constructed for consensus distributed fusion. Finally,the simulation results demonstrate that the proposed approach successfully accomplishes multi-target tracking under asynchronous conditions,with superior tracking accuracy and enhanced robustness.