Research on Data Fusion Processing Method of Radar Countermeasure Reconnaissance Based on Multi-Sensor

Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China

Tagungsband: ICMLCA 2021

Seiten: 4Sprache: EnglischTyp: PDF

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Autoren:
Han, Jun; Liu, Fei; Tang, Yuwen (Air Force Early Warning Academy, PLA, Wuhan, China)
Hu, Yang (Shijiazhuang Flying College of the PLA Air Force, PLA, Beijing, China)

Inhalt:
In order to improve the reliability and anti-jamming ability of radar countermeasure reconnaissance system to deal with complex radar signals, a comprehensive weight estimation algorithm based on multi-sensor fusion is proposed. Firstly, the first-order difference is used to eliminate the abnormal data, then the weight of each sensor is determined by the measure operator and the adaptive fusion estimation algorithm for the local estimation results, and finally the fusion results are weighted by the comprehensive weight. Simulation results show that the algorithm has better adaptability and accuracy.