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A Study on Multivariable Interactions Concerning Radar Cross Section Reduction through Geometric Attributes
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作者 Evan Sharp 《Journal of Applied Mathematics and Physics》 2024年第7期2582-2593,共12页
This resolution 5 (25−1 factorial) study aimed to ascertain an understanding of the interactions between different geometries on the resulting Radar Cross Section (RCS) of a target. The results of the study are in lin... This resolution 5 (25−1 factorial) study aimed to ascertain an understanding of the interactions between different geometries on the resulting Radar Cross Section (RCS) of a target. The results of the study are in line with the general understanding of the impact different geometries have on RCS but show that geometries can also influence the variance of measured RCS, and typical attributes that reduce RCS increase the variance of the measured RCS. Notably, an increased angle between the front face of a plate and the direction of the radar signal decreased RCS but increased the variance of the RCS measured. 展开更多
关键词 Radar Cross Section RCS Geometrical Attributes RADAR STEALTH
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