Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Birmingham : A - Electronic, Electrical and computer engineering
A short note on the assimilation of collocated and concurrent GPS and ionosonde data into the Electron Density Assimilative Model
An outstanding problem of ionospheric data assimilation is how to effectively assimilate disparate data types whilst maintaining a physically realistic model. This paper demonstrates that a non-linear Kalman filter can provide an effective assimilation solution when both GPS and ionosonde data is used. The resulting model modifies the ionospheric slab thickness in order to match the integrated total electron content measurement from the GPS and the layer peak measurements from the ionosonde. This work was undertaken at QinetiQ as part of the UK Ministry of Defence ISTAR and Sensors Domain research programme.