A novel boundary elemental analysis based frequency domain adaptive sampling technique for aerospace application

In aerospace applications, the spacecraft operation depends on data acquisition and operational parameters of both internal and external factors. To construct global approximation, an adaptive sampling is carried out. In general, Boundary Elemental Analysis is used in solving elasto-dynamic problems. In this paper, Boundary Elemental Analysis is used to minimize the computation and sampling time for aerospace applications. In this work, a novel model is introduced to enhance the efficiency of frequency domain adaptive sampling. The space time geostatistical approaches can offer a few advantages including more information to help boundary assessment and forecast and, if present, the abuse of fleeting just as spatial autocorrelation in watched esteems. This has prompted the turn of events and use of room time geostatistical models. The application of boundary elemental analysis reduces the number of sampling frequencies in adaptive frequency sampling. The proposed frequency domain adaptive sampling provides improved convergence iteration with minimal value of 90 iterations than the existing methods. Simulation results demonstrate that this method when combined with Frequency domain adaptive sampling produces12% reduction in delay for convergence iteration and 56% reduction in computation cost compared to the existing state-of-the-art techniques for aerospace applications.