雷达数据的多重分形模型
RADAR DATA ANALYSIS WITH MULTI-FRACTAL METHODS
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摘要: 本文将多重分形的分析方法引入到雷达杂波的分析中,直接从杂波数据本身出发,研究其具有的共性;并分别对杂散数据和带目标回波数据进行了分析,提取了它们的多重分形特征。结果表明在一定的尺度范围内,单纯的雷达杂波具有分形的特征,而带目标回波数据则存在分形的失配性,从而提供了一种对目标进行粗检测和判决的新方法。Abstract: Multi-fractal methods are introduced to radar clutters analysis in this paper to find general characteristics of clutters. Clutters and echoes from targets are analyzed respectively. The results show that the radar clutters are a kind of generalized frctal signals in some degree, and echoes from targets do not match with the fractal model. This fact leads to a new way to detect targets.
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