Fuzzy statistical normalization for target detection in active sensing data
作者： Yanwei Xu , Chaohuan Hou , Shefeng Yan , Jun Li
DOI: 10.1109/IMSNA.2013.6743431
关键词:
摘要: A fuzzy statistical normalization for target detection in active sensing data is proposed this paper. The first stage of the Fuzzification data. Then inference and defuzzification operation based on method alpha-cut approach are performed, which not only attenuate heavier tailed clutter values, but also enlarge lower shadow area noise values. constant false alarm rate (CFAR) detector firstly estimates background level with normalized data, then detects signal original estimated level. Performance comparison between CFAR outlier rejection conventional detectors carried out to validate superiority detection. results show that robust.
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