The BeiDou system has been extensively utilized in the power industry,serving as a key component in a variety of electrical scenarios.In environments with strong electromagnetic interference,such as substations,the BeiDou signals are bound to encounter disruptions.To minimize the impact of signal interference and improve the precision of positioning and timing within such environments,this study has conducted research on BeiDou anti-jamming tech-niques.Initially,the electromagnetic interference conditions in substation environments were analyzed.Subsequently,an improved BeiDou time-domain interference mitigation algorithm leveraging neural networks was proposed.Finally,on-site tests under jamming conditions were carried out to validate the effectiveness of the proposed approach.
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