研究生学术报告预告登记(开题、中期、答辩)

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报告人: 刘荣霞
学号: 2017227018
学院: 海洋学院
报告类型: 第二次学术报告
日期: 2018年05月18日
时间: 13:30
地点: 天津大学卫津路校区8教104室
导师: 张安民
题目: A Height Constrained Adaptive Kalman Filtering Based on Climbing Motion Model for GNSS Positioning
内容提要:

In the past decades, short multipath effect is one of the most important error sources in global navigation satellite systems (GNSS) navigation, and seriously affects the positioning precision. Therefore, some algorithms based on traditional Kalman filtering (KF) have been proposed to overcome the short multipath effect, for example extended KF (EKF), adaptive KF (AKF) and constrained KF (CKF).So, the topic today is surrounded the four aspects as follows:

1.Propose an empirical pseudo range residual model caused by short multipath, which shows pseudo range error exhibits “rectangular” distribution or “shock” distribution.

2.Demonstrate that positioning error and pseudo range error subject to same distribution, and the height of the positioning error is higher than the horizontal positioning error in influence of short multipath effect.

3.Propose a zero-cost algorithm based on the cm model and (height constrained adaptive KF) HCAKF to improve the height estimation in GNSS positioning.

4.Compare the proposed algorithm with traditional EKF, AKF, and commercial GNSS receiver in various short multipath environment.

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登记人: 刘荣霞
登记时间: 2018年05月18日 星期五 09:44