摘要
异类传感器由于探测维度以及探测空间的不同,导致传感器之间的航迹关联变得困难。为实现海陆空之间统一的目标信息态势,本文针对雷达、被动声纳的航迹关联问题,提出了一种基于统计双门限的异类传感器航迹关联算法。该方法首先利用假设检验,将N个探测周期内的每个观测样本与第一门限λ进行比较,统计超过门限的样本数,并将统计结果与第二门限L进行比较,从而判断异类传感器之间的航迹是否关联。仿真实验结果表明,该方法在目标航迹交叉、分岔的情况下,仍然有很高的关联正确率,并且对于水下目标的识别也具有重大的意义。
Due to the different sensor detection dimensions and the detection spaces,the track association is difficult. To achieve centralized target state between sea and air,the paper aimed at the problem of track association of radar and passive sonar puts forward a track association algorithm of heterogeneous sensors based on statistical double-threshold method. Firstly,with the basic of hypothesis test,N observation samples are compared with the first threshold individually. Then the counter counts the number of the samples which are greater than the first threshold λ. The number which is compared with the second threshold L is to determine whether the tracks of radar and passive sonar are associated. The simulation results show that in the case of branching and cross-tracking,the correct association rate of the proposed method which is significant to recognizing underwater target is still high.
作者
田腾
黄海宁
尹力
张扬帆
TIAN Teng;HUANG Haining;YIN Li;ZHANG Yangfan(Underwater Acoustic Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China)
出处
《网络新媒体技术》
2018年第3期25-30,共6页
Network New Media Technology
关键词
航迹关联
雷达
被动声纳
异类传感器
track association
radar
passive sonar
heterogeneous sensors
