Directional Identification of Sensor Arrays Based on Kalman Filter and MUSIC Algorithms
Accurate measurement and identification are crucial parts of partial discharge detection,localization,and a-nalysis.Limited by the sensitivity of electromagnetic sensor directional characteristics,the existing partial discharge lo-calization methods based on angle of arrival(AOA)localization are mainly based on sound signals.This article proposes an ultra high frequency sensing array localization method combining the Kalman filtering algorithm and MUSIC(Multiple Signal Classification).Firstly,the Kalman filtering algorithm is used for signal processing,which can effectively reduce signal fluctuations and measurement errors,and improve measurement accuracy.And then the sensor directionality refer-ence matrix for each sensor is established,and the MUSIC algorithm is used for data matching of arbitrary incoming sig-nal to obtain accurate AOA.After experimental verification,the proposed algorithm can reduce the localization error to less than 5 degrees,which effectively improves the measurement accuracy.
万方数据
维普
