舰船电子工程2023，Vol.43Issue(10)：82-86,131,6.DOI:10.3969/j.issn.1672-9730.2023.10.018
改进ReliefF算法在北斗信号干扰特征选择中的应用
Application of Improved ReliefF Algorithm in Beidou Signal Interference Feature Selection
刘蔚 1王黎明 1姚金杰1
作者信息
- 1. 中北大学信息探测与处理山西省重点实验室 太原 030051
- 折叠
摘要
Abstract
Beidou navigation signals are susceptible to complex interference in urban environments,which seriously affect the positioning accuracy of Beidou receivers.The interference features contain features that contribute less to the evaluation purpose,and these features that contribute less will affect the accuracy of the classification results.In this paper,the Beidou satellite interfer-ence signal is simulated and the signal features are extracted to form a preselected feature set.At the same time,an improved Re-liefF algorithm that uses a new distance calculation method and can iterate in all sample core circles is proposed.The feasibility veri-fication shows that the improved ReliefF algorithm can improve the classification accuracy by 2%when the selected features are 6-dimensional.Finally,the improved ReliefF algorithm is used to propose the pre-selected feature set that contributes more,and the feature dimension reduction from 12-dimensional to 8-dimensional is realized,then the 8-dimensional optimal feature subset is gotten.关键词
北斗卫星导航信号/ReliefF算法/特征降维/最优特征子集Key words
Beidou satellite navigation signal/ReliefF algorithm/feature dimension reduction/optimal feature subset分类
信息技术与安全科学引用本文复制引用
刘蔚,王黎明,姚金杰..改进ReliefF算法在北斗信号干扰特征选择中的应用[J].舰船电子工程,2023,43(10):82-86,131,6.
