基于多维特征模糊加权的密集目标分选关联方法  

A Method of Dense Target Sorting Correlation Based on Multi-dimensional Feature Fuzzy Weighting

作　　者：杨启伦 左园 赵巍 杜冶 YANG Qilun;ZUO Yuan;ZHAO Wei;DU Ye(The 29th Research Institute of CETC,Chengdu 610036,China)

机构地区：[1]中国电子科技集团公司第二十九研究所,四川成都610036

出　　处：《舰船电子对抗》2023年第6期74-77,共4页Shipboard Electronic Countermeasure

摘　　要：针对密集目标的准确侦察需求,提出了一种基于多维特征模糊加权的分选关联方法。首先采用非线性欧式距离进行各维参数的隶属度度量,再将不同参数维度的隶属度通过权重进行模糊加权,并根据最终的加权隶属度大小进行分选关联。对中重频和高重频的不同场景仿真结果表明,所提方法可对电磁参数交叠的密集目标进行正确的分选关联,并且对算法参数设置不敏感,具备良好的鲁棒性。Aiming at the requirement of accurate reconnaissance to dense targets,a sorting correlation method based on multi-dimensional feature fuzzy weighting is proposed.Firstly,the membership degree of each dimension parameter is measured by nonlinear Euclidean distance,then the membership degree of different parameter dimensions is fuzzily weighted by weight,and finally the sorting correlation is carried out according to the final weighted membership degree.The simulations of different scenes with medium and high repetition frequency show that the proposed method can carry out correct sorting correlation for dense targets with overlapping electromagnetic parameters,also the algorithm is not sensitive to parameter setting and has good robustness.

关 键 词：模糊加权 密集目标 分选关联 非线性欧式距离 隶属度 鲁棒性 

分 类 号：TN971.1[电子电信—信号与信息处理]