摘要
为了提高雷达有源压制干扰识别正确率,提出一种特征加权与相像系数聚类的分类方法。针对分类过程中所提取特征参数对信号分类的权重不同,引入特征加权的概念。利用灰色关联度算法求取各特征权重,避免部分微弱特征对分类结果产生较大影响。最后利用相像系数聚类算法,对雷达有源压制干扰信号进行了分类识别。通过Matlab仿真实验证明,该方法可以有效提高雷达有源压制干扰信号类型的识别率。
For raising the correctness ratio of radar active blanket jamming recognition,this paper puts forward a kind of classification method based on characteristic weighting and alikeness coefficient clustering.Aiming at the different weight of extracted characteristic parameters to the signal classification,the concept of characteristic weighting is introduced.Each characteristic weight is fetched by using gray association algorithm,which can avoids that several weak characteristics affect the classification result greatly.At last alikeness coefficient clustering algorithm is used to perform classification recognition to radar active blanket jamming signal.Matlab simulation experiment proves that the method can effectively raise the recognition ratio of radar active blanket jamming signal type.
出处
《舰船电子对抗》
2014年第6期26-28,59,共4页
Shipboard Electronic Countermeasure
关键词
相像系数
特征加权
压制干扰
分类
alikeness coefficient
characteristic weighting
blanket jamming
classification
