摘要
针对传统雷达信号特征参数评估中指标构建不完备、应用背景不强等问题,在研究分类器核函数对特征参数影响的基础上,提出了一种新的信号特征参数评估方法。该方法首先构建了以可分离性、稳定性、复杂性为评估指标的评估体系,给出了特征类内聚集度与类间聚集度的新的度量准则,并基于用户需求对各评估指标权重作层次分析,最后利用指标权重矩阵和指标评分矩阵以打分方式对特征参数的性能进行综合评估并排序。应用结果表明,该评估方法可行有效,能够较好地实现信号特征参数性能的分析和评估,为特征参数的研究与选择提供了依据。
To solve the problem of the evaluation indicators incomplete and the application background defect in traditional evaluation method for radar signal characteristic parameters,this paper studies the effect of the kernel on characteristic parameters,and proposes a new evaluation method for radar signal characteristic parameters.First,the evaluation system based on separability,stability and complexity is established,and a new calculation method of compactness and separation of clusters is given.Then AHP is used to calculate the weight of the index based on user requirements.At last,the weight matrices and score matrices are utilized to evaluate the characteristic parameters.Application results indicate that this method can not only evaluate the characteristic parameters better,but also provide a basis for the application and selection of the characteristic parameters.
作者
杨朝
何明浩
韩俊
刘东青
YANG Zhao;HE Minghao;HAN Jun;LIU Dongqing(Air Force Early Warning Academy,Wuhan 430019,China)
出处
《雷达科学与技术》
北大核心
2018年第4期446-450,共5页
Radar Science and Technology
基金
湖北省自然科学基金(No.2016CFB288)
关键词
雷达信号
特征参数
层次分析
评估
radar signal
characteristic parameter
analytic hierarchy process(AHP)
evaluation