一种基于不确定分布的多目标航迹关联模型及求解
2022年电子技术应用第8期
龙威宇,蔡益朝,李 浩,邱建杰
空军预警学院,湖北 武汉430014
摘要:传统航迹关联模型中通常将噪声和干扰用高斯分布来描述,而电子装备的大量使用,使得战场电磁环境日趋复杂。针对这一问题,提出了一种基于不确定分布的多目标航迹关联模型,通过引入不确定分布函数来描述航迹关联过程中的噪声及干扰,使模型更符合战场真实情况,构建了双传感器情况下的多目标航迹关联流程,并利用经典算法对不同数量目标进行了仿真验证。结果表明,在同等条件下,所提出的模型均优于传统模型,能够带来关联准确率的提升。
中图分类号:TN953;TN957.51
文献标识码:A
DOI:10.16157/j.issn.0258-7998.223088
中文引用格式:龙威宇,蔡益朝,李浩,等. 一种基于不确定分布的多目标航迹关联模型及求解[J].电子技术应用,2022,48(8):13-18,23.
英文引用格式:Long Weiyu,Cai Yichao,Li Hao,et al. A multi-objective track association method based on uncertainty distribution and its solution[J]. Application of Electronic Technique,2022,48(8):13-18,23.
文献标识码:A
DOI:10.16157/j.issn.0258-7998.223088
中文引用格式:龙威宇,蔡益朝,李浩,等. 一种基于不确定分布的多目标航迹关联模型及求解[J].电子技术应用,2022,48(8):13-18,23.
英文引用格式:Long Weiyu,Cai Yichao,Li Hao,et al. A multi-objective track association method based on uncertainty distribution and its solution[J]. Application of Electronic Technique,2022,48(8):13-18,23.
A multi-objective track association method based on uncertainty distribution and its solution
Long Weiyu,Cai Yichao,Li Hao,Qiu Jianjie
Air Force Early Warning Academy,Wuhan 430014,China
Abstract:The noise and interference are usually described by Gaussian distribution in the traditional track association model, while the massive use of electronic equipment makes the battlefield electromagnetic environment more and more complex. To address this problem, this paper proposes a multi-target trajectory association model based on uncertainty distribution, by introducing uncertainty distribution function to describe the noise and interference in the trajectory association process, so that the model is more in line with the real situation on the battlefield, constructs a multi-target trajectory association process in the case of dual sensors, and uses classical algorithms to simulate and verify different numbers of targets. The results show that the model proposed in this paper outperforms the traditional model under the same conditions and can bring improvement in the association accuracy.
Key words :track correlation;multi sensor;uncertainty theory;uncertainty distribution
0 引言
在多目标跟踪系统中,分布式结构可用较低的费用获得较高的可靠性,因此在空管系统、海上监视系统和地基防空系统中有着广泛的应用前景[1-2]。在该系统中主要有两种形式的航迹关联[3],一种是点迹与航迹的关联,即判断新观测到的点迹属于哪一条航迹;另一种是航迹和航迹的关联,即判断不同传感器观测到的航迹是否来自同一目标[3-6]。本文所研究的内容为航迹和航迹关联。
主流的航迹关联算法主要有加权法[7-8]、修正法[9]、最近邻域法[10]、经典分配法[11]、K近邻法[2]、独立序贯法[2]、相关序贯法[2]等,以上方法主要是基于概率统计类的方法。同时还有基于模糊数学的关联方法,主要有:模糊双门限分配法[2]、模糊经典分配法[2]等。在这两大类关联方法中,噪声误差和干扰误差等诸多不确定因素会对关联结果产生不可忽视的影响。
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作者信息:
龙威宇,蔡益朝,李 浩,邱建杰
(空军预警学院,湖北 武汉430014)
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