无线电通信技术2016，Vol.42Issue(5)：88-91,4.DOI:10.3969/j.issn.1003-3114.2016.05.22
随机森林在通信干扰效果客观评价中的应用
Application of Random Forest on Objective Evaluation of Communication Jamming Effect
张璐琳1
作者信息
- 1. 中国人民解放军91404部队，河北 秦皇岛066001
- 折叠
摘要
Abstract
In the objective evaluation of communication jamming effect, the objective measures such as Mel frequency cepstrum coefficient and linear prediction cepstrum coefficient are used to express the interference degree for communications. But there is poor robustness of every measure,that is to say,one kind of objective measurement may fully lose effectiveness in one case while it is with good performance in other cases.In order to address this problem,this paper uses random forest to fuse multiple objective measures to form novel evaluation system and assess the performance of evaluation system based on the consistency with subjective evaluation. The novel evaluation system is demonstrated based on the data from real V/UHF interference system. The results show that this system has better performance compared with single objective measure, and can effectively avoid the over fitting by randomly selecting training samples and dimensions for one sample.关键词
随机森林/通信干扰效果/客观评价Key words
random forest/communication jamming effect/objective evaluation分类
信息技术与安全科学引用本文复制引用
张璐琳..随机森林在通信干扰效果客观评价中的应用[J].无线电通信技术,2016,42(5):88-91,4.
