Collaborative Navigation Algorithm for Delay Belief Propagation of Unmanned Aerial Cluster
The unmanned aerial cluster collaborative navigation system relies on information transmission between carriers. Information transmission time causes a time-delay in relative navigation observations. For traditional belief propa-gation( BP) algorithms, message delivery does not consider the problem of observation time-delay. In this paper, a time-de-lay collaborative navigation algorithm for unmanned aerial cluster based on belief propagation is proposed. Firstly, the time-delay function node error model is established according to the time-delay amount of relative ranging information carousel in belief propagation. Then, the pseudorange value is estimated from the order of magnitude change between the first-order Taylor expansion of the satellite pseudorange and the motion speed of the navigation satellite. Finally, the delay belief prop-agation algorithm( DBPA) is used to estimate the posterior probability of all unmanned aerial vehicles. The simulation re-sults show that the positioning accuracy of the unmanned aerial vehicle is increased by up to 32. 70% at a speed of 60 m/s and by up to 48. 01% at a speed of 100 m/s. It meets the positioning needs in medium and high speed flight conditions. The collaborative navigation performance of the traditional belief propagation algorithm is effectively improved.
cooperative navigationbelief propagationunmanned aerial clusterobservation time-delaygraph model