Mutation grey wolf elite PSO balanced XGBoost for radar emitter individual identification based on measured signals

Measurement(2020)

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摘要
•Radar individual identification depends on signal subtle features.•Number of radar samples measured from real environment is imbalanced.•Parameters of XGBoost have great influence on the identification results.•PSO sometimes falls into local optimal solution.
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关键词
Radar emitter individual identification,Electronic support measures,XGBoost,Particle Swarm Optimization,Subtle features
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