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基于辐射源参数信息的无源数据关联问题研究
引用本文:丁锋,黄建冲,颜坤玉.基于辐射源参数信息的无源数据关联问题研究[J].宇航学报,2013,34(5):721-727.
作者姓名:丁锋  黄建冲  颜坤玉
作者单位:1.电子工程学院,合肥  230037; 2.北方电子设备研究所,北京 100053
基金项目:国防预研项目(41101020×)
摘    要:针对传统无源数据关联算法存在算法复杂、计算量大等缺点,提出了一个能够反映辐射源特征参数信息与目标运动状态参数信息相结合的无源关联算法流程。该算法首先定义基于目标运动状态参数和辐射源特征参数的多维可变跟踪门,然后运用模糊多门限思想,将测量与目标的关联概率来替代概率关联算法中可行联合事件概率的计算。仿真结果表明该算法计算量小,跟踪准确度高,尤其适用于复杂环境下近距离、交叉运动目标等典型情况。

关 键 词:数据关联  辐射源参数  多维跟踪门  模糊多门限  
收稿时间:2012-05-22

Research on Passive Data Association Problems Based on Transmitter Parameters
DING Feng,HUANG Jian chong,YAN Kun yu.Research on Passive Data Association Problems Based on Transmitter Parameters[J].Journal of Astronautics,2013,34(5):721-727.
Authors:DING Feng  HUANG Jian chong  YAN Kun yu
Affiliation:1.Electronic Engineering Institute, Hefei  230037,  China; 2.The North Electronic Equipment Institute, Beijing 100053, China
Abstract:Aiming at the defect of traditional passive data association algorithm, a new passive association algorithm flow which can reflect the information of transmitter parameters and target moving status parameters is proposed. A multi dimensional tracking gate based on the information of transmitter parameters and target moving status parameters is defined in this algorithm. Then fuzzy multi gate thinking is exerted which used the associated probability with target and its measurements for calculation instead of the feasible associated incident probability in the association algorithm. The simulation indicates that this algorithm is possessed of the merits of less computation time and high accuracy in passive tracking, and especially is suited for representative instances such as short distance, cross moving targets in complex circumstances.
Keywords:Data association  Transmitter parameter  Multi dimensional tracking gate  Fuzzy multi threshold  
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