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Data-Driven Interference Localization Using a Single Satellite Based on Received Signal Strength

The localization of an unknown narrow-beam interference source based on a high-Earth/medium-Earth orbiting satellite is considered, and two data-driven methods based on the received signal strength (RSS) are proposed. The narrow-beam interference makes multi-satellite localization scheme invalid, and conventional single-satellite localization approaches including Doppler and direction finding methods will degrade due to the high/medium orbit. In this case, the RSS-based method has the advantages as well as light-load and low-cost hardware. The pretreatment method is firstly conducted due to the discrete and anamorphic original data. Then the direct localization (DL) algorithm is proposed by fitting the change rate of RSS. Thereafter, the filtering and clustering localization (FCL) method is developed to improve the localization robustness. Additionally, the positioning error bound of FCL is analyzed using spherical geometry in some circumstances. Multiple simulations show that the proposed data-driven methods can effectively localize the interference source under such adverse but actual circumstances.