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