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作 者:郑援[1] 胡成军[2] 李启虎[1] 孙长瑜[1]
机构地区:[1]中国科学院声学研究所,北京100080 [2]海军潜艇学院,青岛266071
出 处:《声学学报》2005年第1期83-88,共6页Acta Acustica
基 金:海装武器装备科研项目海装青年基金资助项目
摘 要:研究多目标方位历程实时提取方法,为目标运动分析和军事辅助决策实时提供多个目标的方位历程数据。利用无源声呐方位历程显示的时空累积效应,提出一种实时自动提取多目标方位历程的方法。通过对无源声呐的动态方位历程显示进行图像降噪、亮点提取、历程扩展和非目标历程剔除四个步骤的数字图像处理,实现多目标方位历程的自动、实时提取。海试和仿真实验数据测试表明,该方法能有效提高信噪比,并能有效解决多目标方位历程交叉时的数据关联问题,计算效率和多目标方位历程提取的正确率较高,可实用。To provide multi-target's real-time bearing time history data for target motion analysis and automatic military decision, extraction of multi-target's bearing time tracks on real time is investigated. Taking advantage of the time space accumulation effect of passive sonar's bearing time history display, a method is f roposed to extract multiple targets' bearing time tracks on real time. In order to extract multiple tracks from passive sonar's dynamic bearing time history display, the method takes four steps related with digital image processing: noise reduction, distinguished bearing point recognition, bearing time tracks extension and non-target tracks removal. Tests with data from sea trials and simulation experiments show that not only can the method improve the signal-to-noise ratio, but also solve the data association problem effectively when multiple bearing time tracks intersect. The correct extraction ratio of multi-target's bearing time tracks using the method is satisfactory. The method is also efficient, and can be applied in practice.
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