文章摘要
石超雄,陶剑锋,张路蔚.声呐目标跟踪关联中的模糊关联方法[J].声学技术,2020,39(2):141~145
声呐目标跟踪关联中的模糊关联方法
The fuzzy association method for target-tracking association of sonar
投稿时间:2018-08-12  修订日期:2018-12-06
DOI:10.16300/j.cnki.1000-3630.2020.02.003
中文关键词: 跟踪关联  模糊隶属度  模糊关联
英文关键词: target-tracking association  fuzzy membership degree  fuzzy association
基金项目:装备预研项目(30202)。
作者单位E-mail
石超雄 中国船舶重工集团第七一五研究所, 浙江杭州 310023 scx610192559@163.com 
陶剑锋 中国船舶重工集团第七一五研究所, 浙江杭州 310023  
张路蔚 中国船舶重工集团第七一五研究所, 浙江杭州 310023  
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中文摘要:
      声呐目标跟踪关联是为了获得精确的状态和属性估计、完全和实时的态势和威胁评估。在多台声呐系统联合探测中,根据相同目标、不同观测具有相似特征,提出了声呐目标模糊关联算法。模糊关联能够处理模糊性和不确定性信息,求解具有相似特征目标的关联值。通过将探测目标的方位数据模糊化,利用观测的模糊量和模糊隶属度函数进行数据关联,计算关联时长内两台声呐探测目标方位的关联值,仿真分析验证了上述算法的有效性并取得了较好的实验效果。
英文摘要:
      Target-tracking association of sonar is a comprehensive processing technique, which can achieve more accurate state and attribute estimation and more complete real-time situation and threat assessment than the single information source through smartly combining the multi-source information of targets. In this paper, the multiple sensors based fuzzy correlation algorithm is proposed on the similarity of different observations of the same target. The method is used to process uncertain information for finding the difference between illegible targets, and the correlation value of the target orientations within the correlation time is calculated by blurring the target orientation data based on the fuzzy set definition of observation data and the fuzzy membership function. The validity of the above algorithm is verified by simulation analysis, and good experimental results are obtained.
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