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基于分形自仿射预测的海杂波中目标检测 被引量:6

Target Detection in Sea Clutter Based on Fractal Self-affine Prediction
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摘要 分析了基于分形自仿射的海杂波预测方法,研究了海杂波数据预测误差的统计特性。当存在目标时预测误差的方差会显著减小,由此提出了一种基于预测误差检测海杂波中微弱目标的新方法。经IPIX雷达实测数据验证,基于分形自仿射预测误差的目标检测方法提高了微弱目标的检测性能,取得了比基于记忆库预测的检测方法更高的检测性能。 In this paper, a sea clutter prediction method based on fractal self-affine is analyzed. The statistical model for prediction of error is investigated, and we found that the presence of target in sea clutter will reduce the variance of prediction error. Hence a novel detection concept for weak targets in sea clutter is proposed. The proposed method is verified by IPIX radar sea clutter data, which shows that this method improves detection performance of weak targets in sea clutter. Its performance is better than the performance using a Memory-based predictor.
出处 《现代雷达》 CSCD 北大核心 2009年第4期43-46,50,共5页 Modern Radar
基金 国家自然科学基金资助(60672140) 教育部新世纪优秀人才支持计划资助(NCET-05-0912)
关键词 分形 自仿射 海杂波 目标检测 fractal self-affine sea clutter target detection
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