Application of Improved ReliefF Algorithm in Beidou Signal Interference Feature Selection
LIU Wei
WANG Liming
YAO Jinjie
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.
Keywords：Beidou satellite navigation signalReliefF algorithmfeature dimension reductionoptimal feature subset
Publication Date：2023-10-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 82-86,131 )