Research on a Prediction Model Based on a Newton–Raphson-Optimization–XGBoost Algorithm Predicting Environmental Electromagnetic Effects for an Airborne Synthetic Aperture Radar

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Detalles Bibliográficos
Publicado en:	Electronics vol. 14, no. 11 (2025), p. 2202
Autor Principal:	Shen, Yan
Outros autores:	Chen, Yazhou, Wang, Yuming, Ma, Liyun, Zhang, Xiaolu
Publicado:	MDPI AG
Materias:	Standard deviation Test systems Signal to noise ratio Prediction models Synthetic aperture radar Optimization Signal processing Electromagnetic interference Antennas Newton-Raphson method Image degradation Algorithms Performance degradation Image quality Parameters Airborne radar Distance learning Reconnaissance Information warfare
Acceso en liña:	Citation/Abstract Full Text + Graphics Full Text - PDF
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