Research on Data Fusion Processing Method of Radar Countermeasure Reconnaissance Based on Multi-Sensor
Conference: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
12/17/2021 - 12/19/2021 at Shenyang, China
Proceedings: ICMLCA 2021
Pages: 4Language: englishTyp: PDF
Personal VDE Members are entitled to a 10% discount on this title
Authors:
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)
Abstract:
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.