E.9 – Data fusion and non linear processing of E.L.F. signal for the detection of tethered satellite system

Publisher Summary This chapter deals with the analysis of the ELF signal, taking into account the Near-Field hypothesis conditions and the main problems related to this specific task. The chapter describes a non-linear adaptive pre-processing step, devoted to the preparation of the signal for a subsequent detection step through the deletion of random acquisition noise from SQUID magnetometers. To prove the validity of the proposed method, a spectral analysis of the processed signal is reported, where the features expected from the theoretical model can be easily detected even when analyzing a very short time interval. Finally, the contemporary exploitation of the two magnetometer systems by means of a data fusion process allows an increase in the information data set, while maintaining limited analysis time interval, effectively increasing the detection probability. By the method presented in the chapter, a precise analysis of the ELF signal and its temporal evolution can be performed.