Transionospheric signals are affected due to the existence of anisotropic plasma in the ionosphere. The precise estimation of ionospheric time delay will play a major role in achieving better positional accuracy. For the first time, a novel model based on anisotropic inverse distance weighting with “Jackknife” technique is proposed, and its performance is evaluated in the context of the Global Positioning System.
The performance of the model is compared with three prominent models, namely, the modified planar fit, spline, and Kriging models. Multistation data of a GPS-aided geoaugmented navigation network are used to evaluate the fidelity and sensitivity of the proposed model in near real time. The results due to both quiet and disturbed days are encouraging.