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A Radome Slope Estimation Method Using Multiple-Reference-Model-Based SRUKF Filter

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In order to eliminate the influence of radome refraction on the line of sight (LOS) angle, a new radome multiple reference model based SRUKF filter is proposed to estimate the radome slope. The proposed method corrects the measurement of LOS angle by two-step filtering, which can effectively address the issues of insufficient measured data and uncertain variance of the radome slope. Simulation results show that this method can estimate the radome slope effectively, as well as improve the accuracy of the guidance system.

源语言英语
主期刊名2023 42nd Chinese Control Conference, CCC 2023
出版商IEEE Computer Society
3912-3917
页数6
ISBN(电子版)9789887581543
DOI
出版状态已出版 - 2023
活动42nd Chinese Control Conference, CCC 2023 - Tianjin, 中国
期限: 24 7月 202326 7月 2023

出版系列

姓名Chinese Control Conference, CCC
2023-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议42nd Chinese Control Conference, CCC 2023
国家/地区中国
Tianjin
时期24/07/2326/07/23

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